#Chain-of-thought
Showing 51 of 51 repositories tagged #chain-of-thought, ranked by stars
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 ๐ 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.
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
Implement a reasoning LLM in PyTorch from scratch, step by step
Optimizing inference proxy for LLMs
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 ๐
ๆป็ปPrompt&LLM่ฎบๆ๏ผๅผๆบๆฐๆฎ&ๆจกๅ๏ผAIGCๅบ็จ
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
[ACL 2023] Reasoning with Language Model Prompting: A Survey
ADHD โ 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.
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. ๐ Best Paper Awards @ NeurIPS ML Safety Workshop 2022
[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
An awesome repository & A comprehensive survey on interpretability of LLM attention heads.
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
ๅบไบ Gemini ็ๅฏ่งๅๅคๆบ่ฝไฝๆทฑๅบฆๆจ็ๅผๆ | A visual multi-agent deep reasoning engine powered by Gemini, featuring dynamic planning, chain-of-thought visualization, and multi-session management. Built with React 19 + TypeScript + Vite 6.
๐ฅ Building composable LLM applications & workflow with Java.
Datasets for Instruction Tuning of Large Language Models
Claude Code skill that transforms vague prompts into structured, expert-level prompts using 7 research-backed frameworks (CO-STAR, RISEN, RISE, TIDD-EC, RTF, CoT, CoD)
[ICLR 2026] Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
๐[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
A Python toolkit for chain-of-thought prompting ๐
This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.
๐ฅAn open-source survey of the latest video reasoning tasks, paradigms, and benchmarks.
We introduce new zero-shot prompting magic words that improves the reasoning ability of language models: panel discussion!
Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasoning elevation๐ and hallucination alleviation๐.
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.
Top 10 Claude Prompt Optimization Frameworks 2026
Best Prompt Engineering Tools for 2026 AI Workflow Optimization
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
Awesome deliberative prompting: How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.
An ongoing, collaborative meta-analysis about Human-AI-Interactions. We aggregate data and knowledge to build a non-abrasive, user-friendly prompting framework tailored to LLM mechanics, ensuring reasoning stability and a friction-free prompting environment that is safe for the human psyche and wellbeing.
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning
Latest Advances on (RL based) Multimodal Reasoning and Generation in Multimodal LLMs
Build an Autonomous Web3 AI Trading Agent (BASE + Uniswap V4 example)
Research papers about Chain of Thought (CoT)
Reproducible Language Agent Research
๐คต AIfred-Intelligence โ self-hosted Multi-Agent Assistant with Debate Modes (Symposion/Tribunal), Voice (STT + Streaming-TTS), RAG with Long-Term Memory, Web Research and Tool-Calling. Reachable via Web-UI or Telegram/Discord/Email/EPIM. Multi-Backend: llama-swap, Ollama, vLLM, TabbyAPI.
Awesome LLM papers, news and projects about learning to reason with LLM, OpenAI o1, reasonning techniques, chain-of-thought (COT), Large Language Model, Straberry
The official repository of "SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World".
Synthetic data generation for evaluating LLM symbolic and logic reasoning
Fragaria is a powerful and flexible Chain of Thought (CoT) reasoning API that leverages various Language Model (LLM) providers and incorporates Reinforcement Learning (RL) techniques to solve complex problems and answer intricate questions.
A meta-prompting system that transforms raw prompts into production-ready, XML-structured prompts optimized for Claude Opus 4.6. 10 codified rules, 10-component framework, complexity-based routing โ based on Anthropic's official best practices.
This repository contains the code snippets used in "LLM Prompt Engineering For Developers"
Self-improving LLM agent in TypeScript using Reflexion (verbal RL): custom evaluators, reflexion memory, HTTP API, CLI. Built with Vercel AI SDK.