Stars
The official repository of our survey paper: "Towards a Unified View of Preference Learning for Large Language Models: A Survey"
The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization".
awesome papers in LLM interpretability
A framework for few-shot evaluation of language models.
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
[EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Paper collection on building and evaluating language model agents via executable language grounding
Instruct-tune LLaMA on consumer hardware
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
[ACL 2023] Reasoning with Language Model Prompting: A Survey
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
800,000 step-level correctness labels on LLM solutions to MATH problems
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
🦜🔗 The platform for reliable agents.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
A list of totally open alternatives to ChatGPT
Integrating ChatGPT into your browser deeply, everything you need is here
Papers & Works for large languange models (OpenAI GPT-4, Meta Llama, etc.).