chain-of-thought

22 Projekte teilen dieses GitHub-Topic

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Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

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

Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to…

Awesome-LLM-Strawberry

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

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data…

reasoning-from-scratch

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

Awesome-LLM-Reasoning

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

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3,…

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned &…

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

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Prompt4ReasoningPapers

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

Awesome-LLM-Uncertainty-Reliability-Robustness

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

Awesome-Long-Chain-of-Thought-Reasoning

Latest Advances on Long Chain-of-Thought Reasoning

[ICML 2026] Official resources of "Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement…

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

[NeurIPS 2025 Spotlight] LLM post-training suite — featuring ReasonFlux, ReasonFlux-PRM, and…

vibe-check-mcp-server

Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision,…

Awesome-Attention-Heads

An awesome repository & A comprehensive survey on interpretability of LLM attention heads.

[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

🔥 Building composable LLM applications & workflow with Java.

🔗 Verwandte Familien

instruction-tuning 15 deepseek-r1 19 in-context-learning 9 cot 5 instruction-following 8 coding 17 mathematics 9 collaboration 12

Gemessen anhand der von beiden Projekten geteilten GitHub-Themen, gewichtet nach der Seltenheit jedes Themas.