# #model — MDRSS hashtag feed

> Public MDRSS cards tagged #model.
> Canonical feed: https://mdrss.com/feeds/model

## Cards (13)

### [Startup Financial Modeling](https://mdrss.com/growth/marketing-seo-and-growth/901445/901445.md)

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: growth/marketing-seo-and-growth · Feed: growth · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Financial Projections](https://mdrss.com/growth/marketing-seo-and-growth/901439/901439.md)

Create a comprehensive 3-5 year financial model with revenue projections, cost structure, headcount planning, cash flow analysis, and three-scenario modeling (conservative, base, optimistic) for startup financial planning and fundraising. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: growth/marketing-seo-and-growth · Feed: growth · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [ML Pipeline Workflow](https://mdrss.com/llm-engineering/mlops-and-ml-systems/901384/901384.md)

Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/mlops-and-ml-systems · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Ml engineer](https://mdrss.com/llm-engineering/mlops-and-ml-systems/901381/901381.md)

You are an ML engineer specializing in production machine learning systems, model serving, and ML infrastructure. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/mlops-and-ml-systems · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Vision-Language SFT](https://mdrss.com/llm-engineering/training-and-fine-tuning/901378/901378.md)

This skill assumes finetuning-method-selection already routed here: the data shape is image+text demonstrations, not preference pairs or a verifiable reward signal, and the base is a vision-language model rather than a text-only one. lora-qlora-recipes covers the text-only Lo. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Architecture](https://mdrss.com/ai-agents/agent-design-and-orchestration/901173/901173.md)

Top-level architectural map for the claude-agents marketplace. Detail lives in docs/architecture.md; this file is the index per the OpenAI harness-engineering pattern. Use it to ground design choices in named patterns, trade-offs and examples.

Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Model Migration Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901150/901150.md)

How to move existing code to newer Claude models. Covers breaking changes, deprecated parameters, and drop-in replacements for retired models. Use it as a repeatable review, validation or hardening pass.

Classification: ai-agents/agent-design-and-orchestration · Feed: ai-agents · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Qlib: Quantitative Investment Research Platform](https://mdrss.com/crypto/quant-and-financial-systems/901093/901093.md)

We are excited to announce the release of RD-Agent 📢, a powerful tool that supports automated factor mining and model optimization in quant investment R&D. Use it to navigate the topic and choose relevant methods, papers or tools.

Classification: crypto/quant-and-financial-systems · Feed: crypto · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [System Design](https://mdrss.com/software-craft/architecture-and-distributed-systems/901079/901079.md)

Hey, I hope this course provides a great learning experience. Use it to build a structured path from fundamentals to hands-on practice.

Classification: software-craft/architecture-and-distributed-systems · Feed: software-craft · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [A 3D multi-modal medical image segmentation library in PyTorch](https://mdrss.com/data-research/scientific-and-biomedical-data/901050/901050.md)

A curated reference on scientific & biomedical data centered on A 3D multi-modal medical image segmentation library in PyTorch. Use it to ground design choices in named patterns, trade-offs and examples.

Classification: data-research/scientific-and-biomedical-data · Feed: data-research · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Highlights](https://mdrss.com/multimodal/image-video-and-creative-ai/901027/901027.md)

14B Real-Time Long Video Generation Model can be Cheaper, Faster but Keep Stronger than 1.3B ones ⭐. Use it to navigate the topic and choose relevant methods, papers or tools.

Classification: multimodal/image-video-and-creative-ai · Feed: multimodal · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [MLOps Zoomcamp: Production ML Engineering Curriculum](https://mdrss.com/learning/courses-roadmaps-and-reference/901010/901010.md)

MLOps Zoomcamp: A Free 9-Week Course on Productionizing ML Services. Use it to build a structured path from fundamentals to hands-on practice.

Classification: learning/courses-roadmaps-and-reference · Feed: learning · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Awesome Model Quantization](https://mdrss.com/llm-engineering/inference-and-quantization/901001/901001.md)

This repo collects papers, documents, and codes about model quantization for anyone who wants to research it. We are continuously improving the project. Use it to navigate the topic and choose relevant methods, papers or tools.

Classification: llm-engineering/inference-and-quantization · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1