LLM 模型排行

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

本地化 AI 小说精修工作台🚀。内置 RAG 长时记忆🧠、三模态协作（作家/主编/助手）🖋️、卡片流式编辑器⚡。支持酒馆卡导入、全书自动化精修与扩写🎭。AI小说加料 小说精修 AI文本修改 小说扩写 小说总结

Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.

Automated alignment adjustment for LLMs — direct steering, LoRA, and MoE expert-granular abliteration, optimized via multi-objective Optuna TPE.

Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.

A minimal interface for AI Companion that runs entirely in your browser.

This is a PHP library for Ollama. Ollama is an open-source project that serves as a powerful and user-friendly platform for running LLMs on your local machine. It acts as a bridge between the complexities of LLM technology and the desire for an accessible and customizable AI experience.

Complex question answering in LLMs with enhanced reasoning and information-seeking capabilities.

A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.

Ollama SDK for .NET

Humanable Chat Generative-model Fine-tuning | LLM微调

Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Microsoft Agent Framework and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment

RAG orchestration framework ⛵️

Production-ready ComfyUI custom nodes for 1,400+ fal.ai models, auto-updated image, video, audio, LLM and VLM APIs with native media, caching and cost controls.

A general-purpose API load testing platform that supports LLM services and business HTTP interfaces, enabling one-click performance testing, result comparison, and AI-powered intelligent analysis and summarization. 一站式通用 API 压测平台，支持大模型推理与业务 HTTP 接口，一键完成性能测试、结果对比与 AI 智能分析总结

Self-hostable multimodal chat with local LLMs (Ollama/OpenAI): PDF RAG, image chat, and Whisper voice, Streamlit + Docker.

Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.

An adaptive multi-agent system that extracts your literary DNA through conversation and generates actionable reading profiles.

⚡ Zero-Stall MoE Inference via Lookahead Prediction & Async DMA Prefetching. Optimized for SSD I/O with Hybrid MLA+Sliding Window Attention.

Provenance-first extractive RAG: return verbatim source spans with citations using local ModernBERT or optional LLM-assisted extraction.