Leaderboards
Leaderboards
1Claude Code Learning Resources, Official Docs, and Agent Skills83502Codex Learning Materials and Workflow Guide83503Claude Code on Windows: Installation and Setup for Beginners83504MiniCPM5-1B: 128K context and practical local deployment choices83405Codex Dream Skin Guide: Reversible Themes for Codex Desktop83406Build a local real-time AI voice assistant on Windows83307Open WebUI Beginner Guide: Manage Local and Cloud Models in a Browser83308AnythingLLM Beginner Guide: Local Document Chat and AI Agents83309GPT4All Beginner Guide: Run a Local LLM on an Everyday Computer833010Cherry Studio Beginner Guide: One Desktop Client for Multiple AI Providers833011Jan Beginner Guide: A Desktop Client for Local and Cloud AI833012llama.cpp Beginner Guide: Run GGUF Language Models Locally833013Crawl4AI Beginner Guide: Turn Web Pages into LLM-Ready Markdown833014LiteLLM Beginner Guide: One Interface for Multiple Model Providers833015Microsoft AI for Beginners: A 12-Week, 24-Lesson Study Roadmap833016Generative AI for Beginners: A Practical 21-Lesson Roadmap833017AI Agents for Beginners: An 18-Lesson Learning Roadmap833018MCP for Beginners: From Protocol Basics to a First Server833019OpenAI Cookbook for Beginners: How to Use the Examples Safely833020Prompt Engineering Guide: A Beginner Learning Roadmap833021Hugging Face Agents Course: From Basics to a Tested Agent833022Dify Beginner Guide: Build a Visual AI Workflow and RAG App833023Flowise Beginner Guide: Build a Visual Agent Workflow833024Langflow Beginner Guide: Build AI Workflows from the Desktop833025RAGFlow Guide: Build a Document RAG and Agent Workflow833026ComfyUI Beginner Guide: Build a First Node-Based Image Workflow833027Kimi K3 capabilities: vision, coding, and browser-based interface generation832028A safer local Holo 3.1 agent workflow with llama.cpp and OpenClaw832029Hermes Desktop: model connections, cross-platform use, and safety boundaries832030OpenAI Responses API: A Unified Interface for Model Responses and Tool Use828031Google Gemini Embedding API Docs: Using Task Types to Guide Text Embeddings828032Hugging Face Spaces: A Tool for Hosting and Sharing Machine Learning Demos and Apps828033How to Design a Tool-Calling Response Flow828034Model Context Protocol Specification Defines Concepts for Connecting AI Apps With Tools and Data Sources826035OpenAI Responses API Model Integration Note826036Gemini API Embeddings Tutorial: Document vs. Query Representations826037A Human-Reviewed MCP Editorial Workflow Based on Official Sources826038Ollama Official Documentation Scope Note826039Gemini Embedding 2: An Official-Docs-Based Capability Brief824040OpenAI Platform Documentation Overview: Understanding Platform Concepts, API Usage, and Model Integration823041Ollama: Official Documentation for Running Models Locally and Interacting with a Local Service8220