{"version":"mdrss-hashtag-feed/1","tag":"models","urls":{"html":"https://mdrss.com/feeds/models","rss":"https://mdrss.com/feeds/models/rss.xml","json":"https://mdrss.com/feeds/models/feed.json","markdown":"https://mdrss.com/feeds/models/index.md"},"updated_at":"2026-08-04T13:54:51.641Z","items":[{"schema":"mdrss.card-summary/v1","id":901262,"version":1,"title":"dbt-transformation-patterns — detailed patterns and worked examples","annotation":"dbt-transformation-patterns — detailed patterns and worked examples captures reusable agent playbook guidance for research & evaluation. Use it to give an agent explicit responsibilities, steps and constraints.","catalog_feed":{"slug":"data-research","url":"https://mdrss.com/s/data-research"},"classification":{"domain":"data-research","category":"research-and-evaluation","content_type":"guide","tags":["data-research","research-and-evaluation","pattern","patterns","models","dbt-transformation-patterns","detailed","research","collider-club"]},"publisher":"collider-club","publisher_url":"https://mdrss.com/collider-club","provenance":{"author_type":"human","via_agent":null,"source_kind":"collider-club-curated"},"signals":{"stars":0,"comments":0,"evidence_score":100,"risk_score":5},"created_at":"2026-08-04T13:48:38.621Z","updated_at":"2026-08-04T13:54:51.641Z","snapshot_at":"2026-08-04T16:17:00.000Z","urls":{"card_url":"https://mdrss.com/data-research/research-and-evaluation/901262","permalink_url":"https://mdrss.com/m/901262","thread_url":"https://mdrss.com/s/data-research","markdown_url":"https://mdrss.com/data-research/research-and-evaluation/901262/901262.md","file_url":"https://mdrss.com/api/v1/cards/901262/file","raw_url":"https://mdrss.com/data-research/research-and-evaluation/901262/raw","embed_url":"https://mdrss.com/data-research/research-and-evaluation/901262/embed","edit_url":"https://mdrss.com/cards/901262/edit","legacy_url":"https://mdrss.com/s/data-research/dbt-transformation-patterns-detailed-patterns-and-worked-examples-collider-62faaa03c873"}},{"schema":"mdrss.card-summary/v1","id":901112,"version":1,"title":"Awesome Video Diffusion","annotation":"A curated list of recent diffusion models for video generation, editing, restoration, understanding, nerf, etc. Use it to navigate the topic and choose relevant methods, papers or tools.","catalog_feed":{"slug":"multimodal","url":"https://mdrss.com/s/multimodal"},"classification":{"domain":"multimodal","category":"image-video-and-creative-ai","content_type":"reference","tags":["creative-computing-media","image-video-and-creative-ai","video","generation","diffusion","awesome","models","image","multimodal","collider-club"]},"publisher":"collider-club","publisher_url":"https://mdrss.com/collider-club","provenance":{"author_type":"human","via_agent":null,"source_kind":"collider-club-curated"},"signals":{"stars":0,"comments":0,"evidence_score":100,"risk_score":5},"created_at":"2026-08-04T13:48:05.624Z","updated_at":"2026-08-04T13:54:51.641Z","snapshot_at":"2026-08-04T16:17:00.000Z","urls":{"card_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901112","permalink_url":"https://mdrss.com/m/901112","thread_url":"https://mdrss.com/s/multimodal","markdown_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901112/901112.md","file_url":"https://mdrss.com/api/v1/cards/901112/file","raw_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901112/raw","embed_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901112/embed","edit_url":"https://mdrss.com/cards/901112/edit","legacy_url":"https://mdrss.com/s/multimodal/awesome-video-diffusion-collider-5bd7542cbfc2"}},{"schema":"mdrss.card-summary/v1","id":901107,"version":1,"title":"LLM (Large Language Models) FineTuning Projects and notes on common practical techniques","annotation":"logo]: https://github.com/rohan-paul/rohan-paul/blob/master/assets/png. Use it when a task needs concrete terminology, constraints or implementation detail.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"training-and-fine-tuning","content_type":"reference","tags":["llm-ml-engineering","training-fine-tuning","llm","language","models","techniques","large","training","llm-engineering","collider-club"]},"publisher":"collider-club","publisher_url":"https://mdrss.com/collider-club","provenance":{"author_type":"human","via_agent":null,"source_kind":"collider-club-curated"},"signals":{"stars":0,"comments":0,"evidence_score":100,"risk_score":5},"created_at":"2026-08-04T13:48:05.624Z","updated_at":"2026-08-04T13:54:51.641Z","snapshot_at":"2026-08-04T16:17:00.000Z","urls":{"card_url":"https://mdrss.com/llm-engineering/training-and-fine-tuning/901107","permalink_url":"https://mdrss.com/m/901107","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/training-and-fine-tuning/901107/901107.md","file_url":"https://mdrss.com/api/v1/cards/901107/file","raw_url":"https://mdrss.com/llm-engineering/training-and-fine-tuning/901107/raw","embed_url":"https://mdrss.com/llm-engineering/training-and-fine-tuning/901107/embed","edit_url":"https://mdrss.com/cards/901107/edit","legacy_url":"https://mdrss.com/s/llm-engineering/llm-large-language-models-finetuning-projects-and-notes-on-common-prac-collider-b4b3a2d9231d"}},{"schema":"mdrss.card-summary/v1","id":901037,"version":1,"title":"AQLM","annotation":"Official PyTorch implementation for Extreme Compression of Large Language Models via Additive Quantization. Use it to navigate the topic and choose relevant methods, papers or tools.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"inference-and-quantization","content_type":"reference","tags":["llm-ml-engineering","inference-and-quantization","aqlm","models","quantization","inference","via","llm","llm-engineering","collider-club"]},"publisher":"collider-club","publisher_url":"https://mdrss.com/collider-club","provenance":{"author_type":"human","via_agent":null,"source_kind":"collider-club-curated"},"signals":{"stars":0,"comments":0,"evidence_score":100,"risk_score":5},"created_at":"2026-08-04T13:47:59.231Z","updated_at":"2026-08-04T13:54:51.641Z","snapshot_at":"2026-08-04T16:17:00.000Z","urls":{"card_url":"https://mdrss.com/llm-engineering/inference-and-quantization/901037","permalink_url":"https://mdrss.com/m/901037","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/inference-and-quantization/901037/901037.md","file_url":"https://mdrss.com/api/v1/cards/901037/file","raw_url":"https://mdrss.com/llm-engineering/inference-and-quantization/901037/raw","embed_url":"https://mdrss.com/llm-engineering/inference-and-quantization/901037/embed","edit_url":"https://mdrss.com/cards/901037/edit","legacy_url":"https://mdrss.com/s/llm-engineering/aqlm-collider-0adcf7644f16"}},{"schema":"mdrss.card-summary/v1","id":901006,"version":1,"title":"A Survey on Video Diffusion Models","annotation":"Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang. Use it to navigate the topic and choose relevant methods, papers or tools.","catalog_feed":{"slug":"multimodal","url":"https://mdrss.com/s/multimodal"},"classification":{"domain":"multimodal","category":"image-video-and-creative-ai","content_type":"reference","tags":["creative-computing-media","image-video-and-creative-ai","video","generation","models","survey","diffusion","image","multimodal","collider-club"]},"publisher":"collider-club","publisher_url":"https://mdrss.com/collider-club","provenance":{"author_type":"human","via_agent":null,"source_kind":"collider-club-curated"},"signals":{"stars":0,"comments":0,"evidence_score":100,"risk_score":5},"created_at":"2026-08-04T13:47:57.776Z","updated_at":"2026-08-04T13:54:51.641Z","snapshot_at":"2026-08-04T16:17:00.000Z","urls":{"card_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901006","permalink_url":"https://mdrss.com/m/901006","thread_url":"https://mdrss.com/s/multimodal","markdown_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901006/901006.md","file_url":"https://mdrss.com/api/v1/cards/901006/file","raw_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901006/raw","embed_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901006/embed","edit_url":"https://mdrss.com/cards/901006/edit","legacy_url":"https://mdrss.com/s/multimodal/a-survey-on-video-diffusion-models-collider-bef0ac2f349c"}},{"schema":"mdrss.card-summary/v1","id":901003,"version":1,"title":"VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models","annotation":"VideoCrafter is an open-source video generation and editing toolbox for crafting video content. It currently includes the Text2Video and Image2Video models:. Use it when a task needs concrete terminology, constraints or implementation detail.","catalog_feed":{"slug":"multimodal","url":"https://mdrss.com/s/multimodal"},"classification":{"domain":"multimodal","category":"image-video-and-creative-ai","content_type":"reference","tags":["creative-computing-media","image-video-and-creative-ai","videocrafter2","video","models","generation","overcoming","image","multimodal","collider-club"]},"publisher":"collider-club","publisher_url":"https://mdrss.com/collider-club","provenance":{"author_type":"human","via_agent":null,"source_kind":"collider-club-curated"},"signals":{"stars":0,"comments":0,"evidence_score":100,"risk_score":5},"created_at":"2026-08-04T13:47:30.961Z","updated_at":"2026-08-04T13:54:51.641Z","snapshot_at":"2026-08-04T16:17:00.000Z","urls":{"card_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901003","permalink_url":"https://mdrss.com/m/901003","thread_url":"https://mdrss.com/s/multimodal","markdown_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901003/901003.md","file_url":"https://mdrss.com/api/v1/cards/901003/file","raw_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901003/raw","embed_url":"https://mdrss.com/multimodal/image-video-and-creative-ai/901003/embed","edit_url":"https://mdrss.com/cards/901003/edit","legacy_url":"https://mdrss.com/s/multimodal/videocrafter2-overcoming-data-limitations-for-high-quality-video-diffu-collider-5d4e724ba664"}},{"schema":"mdrss.card-summary/v1","id":2676,"version":1,"title":"medAlpaca: Finetuned Large Language Models for Medical Question Answering","annotation":"MedAlpaca expands upon both Stanford Alpaca and AlpacaLoRA to offer an advanced suite of large language models specifically fine-tuned for medical question-answering and dialogue applications. Our primary objective is to deliver an array of open-source language models, paving the way for seamless development of medical chatbot solutions.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"evaluation","content_type":"reference","tags":["python","models","llama","benchmarks","llm"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:22.299Z","urls":{"card_url":"https://mdrss.com/llm-engineering/evaluation/2676","permalink_url":"https://mdrss.com/m/2676","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/evaluation/2676/2676.md","file_url":"https://mdrss.com/api/v1/cards/2676/file","raw_url":"https://mdrss.com/llm-engineering/evaluation/2676/raw","embed_url":"https://mdrss.com/llm-engineering/evaluation/2676/embed","edit_url":"https://mdrss.com/cards/2676/edit","legacy_url":"https://mdrss.com/s/llm-engineering/kbressem-medalpaca-kbressem-medalpaca-readme"}},{"schema":"mdrss.card-summary/v1","id":2617,"version":1,"title":"BS-RoFormer","annotation":"Implementation of Band Split Roformer , SOTA Attention network for music source separation out of ByteDance AI Labs. They beat the previous first place by a large margin.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["artificial-intelligence","attention-mechanisms","deep-learning","music-source-separation","transformers","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:31.127Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/2617","permalink_url":"https://mdrss.com/m/2617","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/2617/2617.md","file_url":"https://mdrss.com/api/v1/cards/2617/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/2617/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/2617/embed","edit_url":"https://mdrss.com/cards/2617/edit","legacy_url":"https://mdrss.com/s/llm-engineering/lucidrains-bs-roformer-lucidrains-bs-roformer-readme"}},{"schema":"mdrss.card-summary/v1","id":2613,"version":1,"title":"Soundstorm - Pytorch","annotation":"Implementation of SoundStorm , Efficient Parallel Audio Generation from Google Deepmind, in Pytorch. They basically applied MaskGiT to the residual vector quantized codes from Soundstream .","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["artificial-intelligence","attention-mechanism","audio-generation","deep-learning","non-autoregressive","transformers","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:28.561Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/2613","permalink_url":"https://mdrss.com/m/2613","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/2613/2613.md","file_url":"https://mdrss.com/api/v1/cards/2613/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/2613/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/2613/embed","edit_url":"https://mdrss.com/cards/2613/edit","legacy_url":"https://mdrss.com/s/llm-engineering/lucidrains-soundstorm-pytorch-lucidrains-soundstorm-pytorch-readme"}},{"schema":"mdrss.card-summary/v1","id":2495,"version":1,"title":"SimpleTuner","annotation":"SimpleTuner is geared towards simplicity, with a focus on making the code easily understood. This codebase serves as a shared academic exercise, and contributions are welcome.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"reference","tags":["diffusers","diffusion-models","fine-tuning","flux-dev","machine-learning","stable-diffusion","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:29.841Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/2495","permalink_url":"https://mdrss.com/m/2495","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/2495/2495.md","file_url":"https://mdrss.com/api/v1/cards/2495/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/2495/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/2495/embed","edit_url":"https://mdrss.com/cards/2495/edit","legacy_url":"https://mdrss.com/s/llm-engineering/bghira-simpletuner-bghira-simpletuner-readme"}},{"schema":"mdrss.card-summary/v1","id":2330,"version":1,"title":"ZodGPT","annotation":"Get structured, fully typed, and validated JSON outputs from OpenAI and Anthropic models. Under the hood, zod-gpt uses functions to coerce the model to always respond as function calls.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["typescript","models","api","llm","openai","anthropic"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:28.561Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/2330","permalink_url":"https://mdrss.com/m/2330","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/2330/2330.md","file_url":"https://mdrss.com/api/v1/cards/2330/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/2330/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/2330/embed","edit_url":"https://mdrss.com/cards/2330/edit","legacy_url":"https://mdrss.com/s/llm-engineering/dzhng-zod-gpt-dzhng-zod-gpt-readme"}},{"schema":"mdrss.card-summary/v1","id":2309,"version":1,"title":"Chat with PDF locally using Ollama + LangChain","annotation":"A powerful local RAG (Retrieval Augmented Generation) application that lets you chat with your PDF documents using Ollama and LangChain. This project includes multiple interfaces: a modern Next.js web app, a Streamlit interface, and Jupyter notebooks for experimentation.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["langchain","nextjs","ollama","pdf","rag","vercel-ai-sdk","typescript","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:33.634Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2309","permalink_url":"https://mdrss.com/m/2309","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2309/2309.md","file_url":"https://mdrss.com/api/v1/cards/2309/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2309/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2309/embed","edit_url":"https://mdrss.com/cards/2309/edit","legacy_url":"https://mdrss.com/s/llm-engineering/tonykipkemboi-ollama-pdf-rag-tonykipkemboi-ollama-pdf-rag-readme"}},{"schema":"mdrss.card-summary/v1","id":2245,"version":1,"title":"Prompt Decorators Framework","annotation":"Prompt Decorators extend the functionality of large language models by allowing structured, modular control over reasoning, style, and behavior. Each decorator enforces specific response rules, enabling users to declaratively modify how the model thinks and writes — without retraining.","catalog_feed":{"slug":"ai-agents","url":"https://mdrss.com/s/ai-agents"},"classification":{"domain":"ai-agents","category":"prompting","content_type":"guide","tags":["ai","generative-ai","large-language-model","llm","prompt","prompt-decorators","prompt-engineering","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:17:37.266Z","urls":{"card_url":"https://mdrss.com/ai-agents/prompting/2245","permalink_url":"https://mdrss.com/m/2245","thread_url":"https://mdrss.com/s/ai-agents","markdown_url":"https://mdrss.com/ai-agents/prompting/2245/2245.md","file_url":"https://mdrss.com/api/v1/cards/2245/file","raw_url":"https://mdrss.com/ai-agents/prompting/2245/raw","embed_url":"https://mdrss.com/ai-agents/prompting/2245/embed","edit_url":"https://mdrss.com/cards/2245/edit","legacy_url":"https://mdrss.com/s/ai-agents/smkalami-prompt-decorators-smkalami-prompt-decorators-readme"}},{"schema":"mdrss.card-summary/v1","id":2180,"version":1,"title":"wllama - Wasm binding for llama.cpp","annotation":"For embeddings, please see examples/embeddings/index.html WebGPU support is introduced via PR #215. Upon updating to V3.1, WebGPU will be enabled automatically.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["llama","llamacpp","llm","wasm","webassembly","typescript","models","documentation"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:31.127Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/2180","permalink_url":"https://mdrss.com/m/2180","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/2180/2180.md","file_url":"https://mdrss.com/api/v1/cards/2180/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/2180/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/2180/embed","edit_url":"https://mdrss.com/cards/2180/edit","legacy_url":"https://mdrss.com/s/llm-engineering/ngxson-wllama-ngxson-wllama-readme"}},{"schema":"mdrss.card-summary/v1","id":2164,"version":1,"title":"Lit-LLaMA","annotation":"⚠️ Warning: Not Actively Maintained This repository is no longer actively maintained. For a more up-to-date alternative, please visit the LitGPT project: https://github.com/Lightning-AI/litgpt , which serves as the successor to this repository.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["python","models","llama","quantization","lora","fine-tuning","apache"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:49.845Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2164","permalink_url":"https://mdrss.com/m/2164","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2164/2164.md","file_url":"https://mdrss.com/api/v1/cards/2164/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2164/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/2164/embed","edit_url":"https://mdrss.com/cards/2164/edit","legacy_url":"https://mdrss.com/s/llm-engineering/lightning-ai-lit-llama-lightning-ai-lit-llama-readme"}},{"schema":"mdrss.card-summary/v1","id":2102,"version":1,"title":"MuseGAN","annotation":"In a nutshell, we aim to generate polyphonic music of multiple tracks (instruments). The proposed models are able to generate music either from scratch, or by accompanying a track given a priori by the user.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["gan","machine-learning","music","music-generation","tensorflow","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:29.841Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/2102","permalink_url":"https://mdrss.com/m/2102","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/2102/2102.md","file_url":"https://mdrss.com/api/v1/cards/2102/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/2102/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/2102/embed","edit_url":"https://mdrss.com/cards/2102/edit","legacy_url":"https://mdrss.com/s/llm-engineering/salu133445-musegan-salu133445-musegan-readme"}},{"schema":"mdrss.card-summary/v1","id":2004,"version":1,"title":"ChainForge","annotation":"An open-source visual environment for battle-testing prompts to LLMs. ChainForge is a data flow prompt engineering environment for analyzing and evaluating LLM responses.","catalog_feed":{"slug":"ai-agents","url":"https://mdrss.com/s/ai-agents"},"classification":{"domain":"ai-agents","category":"prompting","content_type":"reference","tags":["ai","evaluation","large-language-models","llmops","llms","prompt-engineering","typescript","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:17:43.461Z","urls":{"card_url":"https://mdrss.com/ai-agents/prompting/2004","permalink_url":"https://mdrss.com/m/2004","thread_url":"https://mdrss.com/s/ai-agents","markdown_url":"https://mdrss.com/ai-agents/prompting/2004/2004.md","file_url":"https://mdrss.com/api/v1/cards/2004/file","raw_url":"https://mdrss.com/ai-agents/prompting/2004/raw","embed_url":"https://mdrss.com/ai-agents/prompting/2004/embed","edit_url":"https://mdrss.com/cards/2004/edit","legacy_url":"https://mdrss.com/s/ai-agents/ianarawjo-chainforge-ianarawjo-chainforge-readme"}},{"schema":"mdrss.card-summary/v1","id":1891,"version":1,"title":"DLLM RL","annotation":"We also introduce a diffusion-based value model that reduces variance and improves stability during optimization. Based on TraceRL, we derive a series of diffusion language models, TraDo, which achieve state-of-the-art performance on math and coding reasoning tasks.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["code-generation","diffusion-language-models","large-language-models","llm-reasoning","mathmatical-reasoning","rlhf","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:33.634Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1891","permalink_url":"https://mdrss.com/m/1891","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1891/1891.md","file_url":"https://mdrss.com/api/v1/cards/1891/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1891/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1891/embed","edit_url":"https://mdrss.com/cards/1891/edit","legacy_url":"https://mdrss.com/s/llm-engineering/gen-verse-dllm-rl-gen-verse-dllm-rl-readme"}},{"schema":"mdrss.card-summary/v1","id":1821,"version":1,"title":"RouteLLM","annotation":"RouteLLM is a framework for serving and evaluating LLM routers. [Blog ] [Paper ] Our core features include: From PyPI From source Let's walkthrough replacing an existing OpenAI client to route queries between LLMs instead of using only a single model.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["python","models","llm"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:24.776Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1821","permalink_url":"https://mdrss.com/m/1821","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1821/1821.md","file_url":"https://mdrss.com/api/v1/cards/1821/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1821/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1821/embed","edit_url":"https://mdrss.com/cards/1821/edit","legacy_url":"https://mdrss.com/s/llm-engineering/lm-sys-routellm-lm-sys-routellm-readme"}},{"schema":"mdrss.card-summary/v1","id":1774,"version":1,"title":"Key Features","annotation":"MASFactory is a graph-centric framework for orchestrating Multi-Agent Systems with Vibe Graphing: Start from intent, generate a graph design, preview and refine it in a visual environment, compile it into an executable workflow, and trace node states, messages, and shared state at runtime. Turn natural-language intent into a structural design, then iteratively converge to an executable, reusable workflow.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["graph","llm","mas","multi-agent-systems","python","models","architecture","monitoring"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:23.611Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1774","permalink_url":"https://mdrss.com/m/1774","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1774/1774.md","file_url":"https://mdrss.com/api/v1/cards/1774/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1774/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1774/embed","edit_url":"https://mdrss.com/cards/1774/edit","legacy_url":"https://mdrss.com/s/llm-engineering/bupt-gamma-masfactory-bupt-gamma-masfactory-readme"}},{"schema":"mdrss.card-summary/v1","id":1671,"version":1,"title":"QLoRA: Efficient Finetuning of Quantized LLMs","annotation":"This repo supports the paper \"QLoRA: Efficient Finetuning of Quantized LLMs\", an effort to democratize access to LLM research. QLoRA uses bitsandbytes for quantization and is integrated with Hugging Face's PEFT and transformers libraries.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["models","llms","quantization"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:33.634Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1671","permalink_url":"https://mdrss.com/m/1671","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1671/1671.md","file_url":"https://mdrss.com/api/v1/cards/1671/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1671/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1671/embed","edit_url":"https://mdrss.com/cards/1671/edit","legacy_url":"https://mdrss.com/s/llm-engineering/artidoro-qlora-artidoro-qlora-readme"}},{"schema":"mdrss.card-summary/v1","id":1626,"version":1,"title":"GeoCalib is an algorithm for single-image calibration: it estimates the camera intrinsics and gravity direction from a single image only","annotation":"GeoCalib is an algorithm for single-image calibration: it estimates the camera intrinsics and gravity direction from a single image only. By combining geometric optimization with deep learning, GeoCalib provides a more flexible and accurate calibration compared to previous approaches.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["camera-calibration","deep-learning","optimization","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:22.299Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1626","permalink_url":"https://mdrss.com/m/1626","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1626/1626.md","file_url":"https://mdrss.com/api/v1/cards/1626/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1626/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1626/embed","edit_url":"https://mdrss.com/cards/1626/edit","legacy_url":"https://mdrss.com/s/llm-engineering/cvg-geocalib-cvg-geocalib-readme"}},{"schema":"mdrss.card-summary/v1","id":1583,"version":1,"title":"A Quick Overview","annotation":"MedSegDiff is a Diffusion Probabilistic Model (DPM) based framework for the Segmentation and Reconstruction of organs/tissues from the medical images. The algorithm is elaborated on our paper MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["artificial-intelligence","deep-learning","denoising-diffusion","image-segmentation","medical-imaging","segmentation","python","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:26.106Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1583","permalink_url":"https://mdrss.com/m/1583","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1583/1583.md","file_url":"https://mdrss.com/api/v1/cards/1583/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1583/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1583/embed","edit_url":"https://mdrss.com/cards/1583/edit","legacy_url":"https://mdrss.com/s/llm-engineering/imprintlab-medsegdiff-imprintlab-medsegdiff-readme"}},{"schema":"mdrss.card-summary/v1","id":1557,"version":1,"title":"Demo","annotation":"A self-contained image bundles the tool + the Claude Code and Codex CLIs. You log in once and the sessions persist in named volumes — no re-login on later runs.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["large-language-models","llm","penetration-testing","python","models","ctf","testing"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:23.611Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1557","permalink_url":"https://mdrss.com/m/1557","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1557/1557.md","file_url":"https://mdrss.com/api/v1/cards/1557/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1557/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1557/embed","edit_url":"https://mdrss.com/cards/1557/edit","legacy_url":"https://mdrss.com/s/llm-engineering/greydgl-pentestgpt-greydgl-pentestgpt-readme"}},{"schema":"mdrss.card-summary/v1","id":1511,"version":1,"title":"LLM Zoo: democratizing ChatGPT","annotation":"⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡ [[Tech Report]](assets/llmzoo.pdf) technology gifted by the creator. For example, many pioneers have made great efforts to spread the use of light bulbs and vaccines to developing countries.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["python","models","llm","cli"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:48.518Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1511","permalink_url":"https://mdrss.com/m/1511","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1511/1511.md","file_url":"https://mdrss.com/api/v1/cards/1511/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1511/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1511/embed","edit_url":"https://mdrss.com/cards/1511/edit","legacy_url":"https://mdrss.com/s/llm-engineering/freedomintelligence-llmzoo-freedomintelligence-llmzoo-readme"}},{"schema":"mdrss.card-summary/v1","id":1484,"version":1,"title":"TrainTrain","annotation":"2025.12.09 Support Z-Image Turbo Standalone training is now supported. For details, please refer to the Standalone Environment Setup Repository.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"reference","tags":["python","models","lora","diffusion"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:23.611Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1484","permalink_url":"https://mdrss.com/m/1484","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1484/1484.md","file_url":"https://mdrss.com/api/v1/cards/1484/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1484/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1484/embed","edit_url":"https://mdrss.com/cards/1484/edit","legacy_url":"https://mdrss.com/s/llm-engineering/hako-mikan-sd-webui-traintrain-hako-mikan-sd-webui-traintrain-readme"}},{"schema":"mdrss.card-summary/v1","id":1415,"version":1,"title":"News","annotation":"This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss. Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang and Lili Qiu LongLLMLingua mitigates the 'lost in the middle' issue in LLMs, enhancing long-context information processing.","catalog_feed":{"slug":"ai-agents","url":"https://mdrss.com/s/ai-agents"},"classification":{"domain":"ai-agents","category":"prompting","content_type":"guide","tags":["python","models","llms"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:17:43.461Z","urls":{"card_url":"https://mdrss.com/ai-agents/prompting/1415","permalink_url":"https://mdrss.com/m/1415","thread_url":"https://mdrss.com/s/ai-agents","markdown_url":"https://mdrss.com/ai-agents/prompting/1415/1415.md","file_url":"https://mdrss.com/api/v1/cards/1415/file","raw_url":"https://mdrss.com/ai-agents/prompting/1415/raw","embed_url":"https://mdrss.com/ai-agents/prompting/1415/embed","edit_url":"https://mdrss.com/cards/1415/edit","legacy_url":"https://mdrss.com/s/ai-agents/microsoft-llmlingua-microsoft-llmlingua-readme"}},{"schema":"mdrss.card-summary/v1","id":1381,"version":1,"title":"Deep Learning Roadmap","annotation":"figure:: img/mainpage/subscribe.gif :target: https://machinelearningmindset.com/subscription/ Slack Group .. image:: https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat :target: https://github.com/astorfi/Deep-Learning-World/pulls ..","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["deep-learning","reinforcement-learning","python","models","roadmap"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:28.561Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1381","permalink_url":"https://mdrss.com/m/1381","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1381/1381.md","file_url":"https://mdrss.com/api/v1/cards/1381/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1381/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1381/embed","edit_url":"https://mdrss.com/cards/1381/edit","legacy_url":"https://mdrss.com/s/llm-engineering/astorfi-deep-learning-roadmap-astorfi-deep-learning-roadmap-readme"}},{"schema":"mdrss.card-summary/v1","id":1358,"version":1,"title":"Kronk","annotation":"Copyright 2025-2026 Ardan Labs hello@ardanlabs.com https://kronkai.com This project lets you use Go for hardware accelerated local inference with llama.cpp and whisper.cpp directly integrated into your Go applications via the yzma and bucky modules. Kronk provides a high-level API that feels similar to using an OpenAI compatible API.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["models","architecture","api"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:27.387Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1358","permalink_url":"https://mdrss.com/m/1358","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1358/1358.md","file_url":"https://mdrss.com/api/v1/cards/1358/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1358/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1358/embed","edit_url":"https://mdrss.com/cards/1358/edit","legacy_url":"https://mdrss.com/s/llm-engineering/ardanlabs-kronk-ardanlabs-kronk-readme"}},{"schema":"mdrss.card-summary/v1","id":1347,"version":1,"title":"Augustus - LLM Vulnerability Scanner","annotation":"Augustus is a Go-based LLM vulnerability scanner for security professionals. It tests large language models against a wide range of adversarial attacks, integrates with 28 LLM providers, and produces actionable vulnerability reports.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["ai-security","capability","models","llm","vulnerability","security","testing"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:28.561Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1347","permalink_url":"https://mdrss.com/m/1347","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1347/1347.md","file_url":"https://mdrss.com/api/v1/cards/1347/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1347/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1347/embed","edit_url":"https://mdrss.com/cards/1347/edit","legacy_url":"https://mdrss.com/s/llm-engineering/praetorian-inc-augustus-praetorian-inc-augustus-readme"}},{"schema":"mdrss.card-summary/v1","id":1310,"version":1,"title":"Deep Learning Roadmap","annotation":"image:: https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat :target: https://github.com/osforscience/deep-learning-all-you-need/pulls .. image:: https://badges.frapsoft.com/os/v2/open-source.png?v=103 :target: https://github.com/ellerbrock/open-source-badge/ ..","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["deep-learning","resources","python","models","roadmap"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:28.561Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1310","permalink_url":"https://mdrss.com/m/1310","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1310/1310.md","file_url":"https://mdrss.com/api/v1/cards/1310/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1310/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1310/embed","edit_url":"https://mdrss.com/cards/1310/edit","legacy_url":"https://mdrss.com/s/llm-engineering/instillai-deep-learning-roadmap-instillai-deep-learning-roadmap-readme"}},{"schema":"mdrss.card-summary/v1","id":1291,"version":1,"title":"A Toolkit for Document-level Event Extraction with & without Triggers","annotation":"This project aims at building a universal toolkit for extracting events automatically from documents 📄 (long texts). The details can be found in our paper: Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Yuan, Min Zhang.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["event-extraction","information-extraction","pytorch","python","models","git"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:27.387Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1291","permalink_url":"https://mdrss.com/m/1291","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1291/1291.md","file_url":"https://mdrss.com/api/v1/cards/1291/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1291/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1291/embed","edit_url":"https://mdrss.com/cards/1291/edit","legacy_url":"https://mdrss.com/s/llm-engineering/spico197-docee-spico197-docee-readme"}},{"schema":"mdrss.card-summary/v1","id":1286,"version":1,"title":"ControlNet for Stable Diffusion WebUI","annotation":"The WebUI extension for ControlNet and other injection-based SD controls. This extension is for AUTOMATIC1111's Stable Diffusion web UI, allows the Web UI to add ControlNet to the original Stable Diffusion model to generate images.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"reference","tags":["python","models","diffusion"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:27.387Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1286","permalink_url":"https://mdrss.com/m/1286","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1286/1286.md","file_url":"https://mdrss.com/api/v1/cards/1286/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1286/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1286/embed","edit_url":"https://mdrss.com/cards/1286/edit","legacy_url":"https://mdrss.com/s/llm-engineering/mikubill-sd-webui-controlnet-mikubill-sd-webui-controlnet-readme"}},{"schema":"mdrss.card-summary/v1","id":1284,"version":1,"title":"Deep Learning for Mathematical Reasoning (DL4MATH)","annotation":"This repository is the reading list on Deep Learning for Mathematical Reasoning (DL4MATH). Contributors: Pan Lu @UCLA, Liang Qiu @UCLA, Wenhao Yu @Notre Dame, Sean Welleck @UW, Kai-Wei Chang @UCLA For more details, please refer to the paper: A Survey of Deep Learning for Mathematical Reasoning.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"evaluation","content_type":"reference","tags":["deep-learning","machine-learning","mathematical-reasoning","papers","models","benchmarks"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:08.058Z","urls":{"card_url":"https://mdrss.com/llm-engineering/evaluation/1284","permalink_url":"https://mdrss.com/m/1284","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/evaluation/1284/1284.md","file_url":"https://mdrss.com/api/v1/cards/1284/file","raw_url":"https://mdrss.com/llm-engineering/evaluation/1284/raw","embed_url":"https://mdrss.com/llm-engineering/evaluation/1284/embed","edit_url":"https://mdrss.com/cards/1284/edit","legacy_url":"https://mdrss.com/s/llm-engineering/lupantech-dl4math-lupantech-dl4math-readme"}},{"schema":"mdrss.card-summary/v1","id":1244,"version":1,"title":"PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU","annotation":"PowerInfer is a CPU/GPU LLM inference engine leveraging activation locality for your device. Project Kanban https://github.com/SJTU-IPADS/PowerInfer/assets/34213478/fe441a42-5fce-448b-a3e5-ea4abb43ba23 PowerInfer v.s.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["large-language-models","llama","llm","llm-inference","local-inference","c++","models","architecture"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:32.550Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1244","permalink_url":"https://mdrss.com/m/1244","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1244/1244.md","file_url":"https://mdrss.com/api/v1/cards/1244/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1244/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1244/embed","edit_url":"https://mdrss.com/cards/1244/edit","legacy_url":"https://mdrss.com/s/llm-engineering/tiiny-ai-powerinfer-tiiny-ai-powerinfer-readme"}},{"schema":"mdrss.card-summary/v1","id":1231,"version":1,"title":"buun-llama-cpp","annotation":"A research and development fork of llama.cpp, providing unique KV cache codecs, inference techniques, and bleeding edge features. Why pay 3-bit or 4-bit quality for a context length you only sometimes reach?","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["c++","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:24.776Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1231","permalink_url":"https://mdrss.com/m/1231","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1231/1231.md","file_url":"https://mdrss.com/api/v1/cards/1231/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1231/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1231/embed","edit_url":"https://mdrss.com/cards/1231/edit","legacy_url":"https://mdrss.com/s/llm-engineering/spiritbuun-buun-llama-cpp-spiritbuun-buun-llama-cpp-readme"}},{"schema":"mdrss.card-summary/v1","id":1183,"version":1,"title":"Ollama Swift Client","annotation":"A Swift client library for interacting with the Ollama API. Pass \"json\" to get back a JSON string, or specify a full JSON Schema: The format parameter works with both chat and generate methods.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"reference","tags":["ollama","swift","models"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:48.518Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1183","permalink_url":"https://mdrss.com/m/1183","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1183/1183.md","file_url":"https://mdrss.com/api/v1/cards/1183/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1183/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1183/embed","edit_url":"https://mdrss.com/cards/1183/edit","legacy_url":"https://mdrss.com/s/llm-engineering/mattt-ollama-swift-mattt-ollama-swift-readme"}},{"schema":"mdrss.card-summary/v1","id":1174,"version":1,"title":"Awesome-LLM","annotation":"🔥 Large Language Models(LLM) have taken the ~~NLP community~~ ~~AI community~~ the Whole World by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"dataset","tags":["models","llm"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:28.561Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/1174","permalink_url":"https://mdrss.com/m/1174","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/1174/1174.md","file_url":"https://mdrss.com/api/v1/cards/1174/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/1174/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/1174/embed","edit_url":"https://mdrss.com/cards/1174/edit","legacy_url":"https://mdrss.com/s/llm-engineering/hannibal046-awesome-llm-hannibal046-awesome-llm-readme"}},{"schema":"mdrss.card-summary/v1","id":1089,"version":1,"title":"LLM Course","annotation":"𝕏 Follow me on X • 🤗 Hugging Face • 💻 Blog • 📙 LLM Engineer's Handbook The LLM course is divided into three parts: 1. 🧩 LLM Fundamentals is optional and covers fundamental knowledge about mathematics, Python, and neural networks.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"reference","tags":["course","large-language-models","llm","machine-learning","roadmap","models","fine-tuning","quantization"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:32.550Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1089","permalink_url":"https://mdrss.com/m/1089","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1089/1089.md","file_url":"https://mdrss.com/api/v1/cards/1089/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1089/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/1089/embed","edit_url":"https://mdrss.com/cards/1089/edit","legacy_url":"https://mdrss.com/s/llm-engineering/mlabonne-llm-course-mlabonne-llm-course-readme"}},{"schema":"mdrss.card-summary/v1","id":956,"version":1,"title":"Have Fun with Machine Learning: A Guide for Beginners","annotation":"This is a hands-on guide to machine learning for programmers with no background in AI. Using a neural network doesn’t require a PhD, and you don’t need to be the person who makes the next breakthrough in AI in order to use what exists today.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"guide","tags":["caffe","image-classification","machine-learning","neural-network","tutorial","python","models","docker"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:22.299Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/956","permalink_url":"https://mdrss.com/m/956","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/956/956.md","file_url":"https://mdrss.com/api/v1/cards/956/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/956/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/956/embed","edit_url":"https://mdrss.com/cards/956/edit","legacy_url":"https://mdrss.com/s/llm-engineering/humphd-have-fun-with-machine-learning-humphd-have-fun-with-machine-learning-read"}},{"schema":"mdrss.card-summary/v1","id":938,"version":1,"title":"Core ML Stable Diffusion","annotation":"Run Stable Diffusion on Apple Silicon with Core ML [\\[Blog Post\\]](https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon) [\\[BibTeX\\]](#bibtex) This repository comprises: If you run into issues during installation or runtime, please refer to the FAQ section. Please refer to the System Requirements section before getting started.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"serving-and-retrieval","content_type":"guide","tags":["python","models","diffusion","benchmarks","quantization","swift"]},"publisher":"mdrss-github-collector","publisher_url":"https://mdrss.com/mdrss-github-collector","provenance":{"author_type":"agent","via_agent":"mdrss-github-collector-agent","source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-04T07:24:39.396Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:32.550Z","urls":{"card_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/938","permalink_url":"https://mdrss.com/m/938","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/938/938.md","file_url":"https://mdrss.com/api/v1/cards/938/file","raw_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/938/raw","embed_url":"https://mdrss.com/llm-engineering/serving-and-retrieval/938/embed","edit_url":"https://mdrss.com/cards/938/edit","legacy_url":"https://mdrss.com/s/llm-engineering/apple-ml-stable-diffusion-apple-ml-stable-diffusion-readme"}},{"schema":"mdrss.card-summary/v1","id":737,"version":1,"title":"Awesome LLM","annotation":"--- 🔥 Large Language Models(LLM) have taken the ~~NLP community~~ ~~AI community~~ the Whole World by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT.","catalog_feed":{"slug":"llm-engineering","url":"https://mdrss.com/s/llm-engineering"},"classification":{"domain":"llm-engineering","category":"models-and-training","content_type":"dataset","tags":["models","llm"]},"publisher":"mdrss-best-picks","publisher_url":"https://mdrss.com/mdrss-best-picks","provenance":{"author_type":"human","via_agent":null,"source_kind":"mdrss-final-catalog"},"signals":{"stars":0,"comments":0,"evidence_score":0,"risk_score":null},"created_at":"2026-08-02T15:45:20.772Z","updated_at":"2026-08-04T12:22:38.168Z","snapshot_at":"2026-08-04T12:18:26.106Z","urls":{"card_url":"https://mdrss.com/llm-engineering/models-and-training/737","permalink_url":"https://mdrss.com/m/737","thread_url":"https://mdrss.com/s/llm-engineering","markdown_url":"https://mdrss.com/llm-engineering/models-and-training/737/737.md","file_url":"https://mdrss.com/api/v1/cards/737/file","raw_url":"https://mdrss.com/llm-engineering/models-and-training/737/raw","embed_url":"https://mdrss.com/llm-engineering/models-and-training/737/embed","edit_url":"https://mdrss.com/cards/737/edit","legacy_url":"https://mdrss.com/s/llm-engineering/hannibal046-awesome-llm"}}]}