LLM 模型排行

Private, on-device voice assistant - STT, LLM, and TTS running fully locally. Powered by the Tether QVAC SDK. Mobile (Android via Expo + React Native) and desktop (Windows / macOS / Linux via Electron) from a shared hexagonal core.

Agentic SDLC with local LLM's.

Dual-mode cloud burst LLM router. Edge-first or cloud-first inference with data sovereignty, cost controls, and automatic failover. https://aiburstcloud.com

Convert pdf and image files into markdown

The official repo for the paper "Optimizing LLM Inference Throughput via Memory-aware and SLA-constrained Dynamic Batching"

Generate multi-speaker conversational datasets for LLM fine-tuning. N-persona support, topic variation, conversation continuation, creative briefs with web search, character pools, Docker support. ShareGPT format with configurable role mapping.

KONASH: Train knowledge agents that search, retrieve, and reason. Based on KARL (Databricks, 2026).

Making MoE fine-tuning accessible to anyone with consumer hardware.

weighted category-balanced dataset builder for LLM fine-tuning

Enterprise-grade LLMOps platform to accelerate the development and deployment of generative AI applications.

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig

A comprehensive survey of Vision–Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets

The complete open-source LLM curriculum — prompt engineering, RAG, fine-tuning, agents, and production deployment. Beginner to advanced. Python. Free forever.

ESGenius: EMNLP 2025 Main Oral benchmark for LLM ESG and sustainability knowledge, with 1,136 questions, evaluation code, interactive heatmap, and Hugging Face dataset release.

Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.

chap - A Python interface to chatgpt, including a terminal user interface (tui)

This repo contains almost everything about Generative Ai

End-to-end deployment of Azure OpenAI applications using Redis Enterprise as a vector database.

KoutenDB: locality-aware NoSQL document/vector database built around rings and orbit-inspired retrieval

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.