chain-of-thought

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

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Implement a reasoning LLM in PyTorch from scratch, step by step

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

Optimizing inference proxy for LLMs

ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, deepens the survivors. The no-brainer skill for creative and interdisciplinary work.

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

总结Prompt&LLM论文，开源数据&模型，AIGC应用

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.

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

[ACL 2023] Reasoning with Language Model Prompting: A Survey

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks