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A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

The official GitHub page for the survey paper "A Survey of Large Language Models".

  • chain-of-thought
  • chatgpt
  • in-context-learning
  • instruction-tuning

A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.

零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step