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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Efficient Triton Kernels for LLM Training
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & RFT & Dynamic Sampling & Async Agent RL)
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
No fortress, purely open ground. OpenManus is Coming.
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
Course information for CS598-Topics in LLM Agents(25'Spring) under the direction of Prof. Jiaxuan You ( [email protected] ).
This is an official implementation for Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. [CVPR'25]
🦜🔗 Build context-aware reasoning applications
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A curated list of reinforcement learning with human feedback resources (continually updated)
A framework for the evaluation of autoregressive code generation language models.
The PYthoN General UnIt Test geNerator is a test-generation tool for Python
👨💻 An awesome and curated list of best code-LLM for research.
Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 🍓
A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
Reading list for research topics in multimodal machine learning
✨✨Latest Advances on Multimodal Large Language Models
A curated list of awesome adversarial machine learning resources
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.