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A modular RL library to fine-tune language models to human preferences
Train transformer language models with reinforcement learning.
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
Awesome-LLM: a curated list of Large Language Model
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Collection of awesome parameter-efficient fine-tuning resources.
Task-Aware Agent-driven Prompt Optimization Framework
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A high-throughput and memory-efficient inference and serving engine for LLMs
⚡ Dynamically generated stats for your github readmes
Code for the paper "Language Models are Unsupervised Multitask Learners"
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
2021年最新整理， C++ 学习资料，含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
❤️这是一条汇总网上许多资料，而不是资料的纯粹堆砌，让人眼花缭乱的复制粘贴，这不是帮你在总结所有的知识点，而是根据实际的计算机系课程来安排学习路线，并且配合上面向就业的学习，与完全跟着学校课程相比，做到了不和工业界面试不脱节，非常实际、非常认真、非常掉头发，真心求个视频三连！