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A powerful tool for creating fine-tuning datasets for LLM
An open protocol enabling communication and interoperability between opaque agentic applications.
该系列的目的是让读者可以在基础的pytorch上,不依赖任何其他现成的外部库,从零开始理解并实现一个大语言模型的所有组成部分,以及训练微调代码,因此读者仅需python,pytorch和最基础深度学习背景知识即可。
A foundation model for knowledge graph reasoning
Witness the aha moment of VLM with less than $3.
Fully open reproduction of DeepSeek-R1
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
🌐 WebWalker [ACL2025] & WebDancer [Preprint]
AFusion: AlphaFold 3 GUI & Toolkit with Visualization
Implementation of the proposed minGRU in Pytorch
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
This repository collects all relevant resources about interpretability in LLMs
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
An extensible benchmark for evaluating large language models on planning
Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".
[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".
ICLR 2025 Workshop & CHI 2025 SIG: "Bidirectional Human-AI Alignment"
A modular graph-based Retrieval-Augmented Generation (RAG) system
All-in-one Web Agent framework for post-training. Start building with a few clicks!
LogiTorch is a PyTorch-based library for logical reasoning on natural language
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Production-ready platform for agentic workflow development.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
Mapping Wikipedia pages to Wikidata IDs and vice versa.
(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases