Official code repository for the O'Reilly book "Hands-On Large Language Models". Features 12 core chapters and bonus content covering Tokens, Transformers, RAG, and Fine-tuning. Includes 300+ illustrations and runnable Jupyter Notebooks optimized for Colab and local environments.
A comprehensive AI engineering hub featuring 93+ production-ready projects with in-depth tutorials and implementations for LLMs, RAGs, AI Agents, and MCP, covering beginner to advanced skill levels.
A curated collection of resources for Long Chain-of-Thought (Long-CoT) reasoning in LLMs, featuring papers, implementations, and datasets to track the latest advancements in the field.
A curated list of free LLM inference APIs, covering rate limits, model lists, and special requirements for major platforms like OpenRouter, Google AI Studio, Groq, and Cerebras. Ideal for developers in the prototyping phase.
An AI agent framework built with Rust, powered by ICP blockchain and TEEs, designed to create a highly composable, autonomous, and perpetually memorizing network of AI agents.
A curated collection of papers on building and evaluating language model agents via executable language grounding, covering LLM code generation, agents with tool use, web grounding, and robotics research.
A curated collection of recent research papers on autonomous agents, focusing on both reinforcement learning-based and large language model-based approaches, helping researchers quickly understand the cutting edge of the field。
PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents and uses LLM reasoning for human-like retrieval, delivering superior performance in professional document analysis.
A curated list of research on Embodied AI or robots with Large Language Models that tracks the latest developments in this field.
A comprehensive, curated collection of resources for Azure OpenAI, Large Language Models (LLMs), and their applications, featuring tools, frameworks, best practices, and research papers.
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