:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Implement a reasoning LLM in PyTorch from scratch, step by step
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
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.
Optimizing inference proxy for LLMs
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A framework designed to manage context, dependencies, and tasks in large-scale Cline projects within VS Code
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
Perturb-and-continue causal tests of chain-of-thought: does the written reasoning actually constrain the answer? Code, data, and probes for "From Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought" (TMLR 2026).
DeepSeek V4 特化思维链引导规范:we need to 句式,任意 agent 客户端可接入(纯提示词层)
A causal reasoning world model for embodied intelligence, predicting future video through explicit chain-of-thought over motion and geometry with flexible multimodal conditioning.
A curated collection of papers and projects on analyzing, extracting, and reproducing chain-of-thought reasoning from black-box models.
Translate the reasoning / thinking chain (chain-of-thought), task cards and answers of the DeepSeek Harness Web UI into one of 8 target languages