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AI Agents & Automation

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Agent frameworks, coding agents, MCP tooling and prompt engineering.

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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.

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Prompt with an image/video → Get runnable vision code → Build Visual AI App in minutes Discord · Architecture · YouTube VisionAgent is the Visual AI pilot from LandingAI. Give it a prompt and an image, and it automatically picks the right vision models and outputs ready‑to‑run code—letting you build vision‑enabled apps in minutes.

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NewsAgent

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.

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This repository focuses on high-fidelity image prompts sourced from X (Twitter), WeChat, Replicate, and top prompt engineers. Whether you are looking for photorealistic portraits, stylized aesthetics, or complex creative experiments, you will find the most effective inputs here to unlock the full potential of the model.

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Awesome Prompt Engineering 🧙‍♂️ A hand-curated collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models. https://promptslab.github.io --- New to prompt engineering?

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