Tags: #llm

An open-source LLM engineering platform providing observability, metrics, evaluations, and prompt management for developing and debugging AI applications.

A production-ready platform designed for developing and deploying agentic AI applications and complex workflows.

Unsloth Studio is a web UI that enables efficient local training and inference of open-source large language models and other AI models with significant VRAM and speed optimizations.

An LLM-driven system for automated daily stock analysis across A/H/US markets, providing decision dashboards and multi-channel notifications at no cost.

A comprehensive platform for building, deploying, and collaborating with AI agents, designed to enhance productivity and foster human-agent co-evolution.

DeerFlow is an open-source SuperAgent harness designed to research, code, and create by orchestrating sub-agents, memory, and sandboxes with extensible skills for long-horizon tasks.

An open-source platform for comprehensive tracing, evaluation, and optimization of LLM applications, RAG systems, and agentic workflows.

Memori provides an LLM-agnostic layer that transforms AI agent execution and conversations into structured, persistent memory for production systems.

A modern TypeScript framework for building, tuning, and scaling reliable AI-powered applications and autonomous agents.

LangChain is a framework for building robust LLM-powered applications and intelligent agents by chaining together interoperable components and third-party integrations.

A comprehensive guide and curated collection of resources for Agent Skills, designed to help users quickly understand, implement, and manage AI agent capabilities.

An open-source AI platform offering an advanced, feature-rich chat interface compatible with all major LLMs, enabling RAG, web search, and custom agents.

Repomix is a powerful CLI tool that packages entire code repositories into AI-friendly formats, optimized for Large Language Models (LLMs) and other AI tools.

Deep Agents is a batteries-included AI agent harness built with LangChain and LangGraph, offering out-of-the-box capabilities for planning, file system interaction, sub-agent delegation, and intelligent context management to tackle complex agentic tasks efficiently.

A Golang framework for building sophisticated LLM and AI applications, inspired by LangChain and Google ADK.

A unified open-source AI Gateway and Python SDK to call over 100 LLM APIs in an OpenAI-compatible format, offering features like cost tracking, load balancing, and guardrails.

An open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and agent workflows.

A scalable and lightweight infrastructure for fine-tuning, inference, and deployment of over 1000 large language models (LLMs) and multimodal large language models (MLLMs) using advanced techniques.

FastGPT is an LLM-powered platform for building AI agents and complex question-answering systems, offering out-of-the-box data processing, RAG, and visual workflow orchestration.

A CLI and library for testing, evaluating, and red-teaming LLM applications to ensure security, reliability, and performance across various models.

A provider-agnostic TypeScript toolkit for building AI-powered applications and agents with popular UI frameworks and runtimes.

An all-in-one, privacy-first AI application for chatting with documents and automating workflows using AI agents, designed for easy local deployment.

A state-of-the-art library for Parameter-Efficient Fine-Tuning (PEFT) of large pretrained models, drastically reducing computational and storage costs.

A Python framework for rapidly building and deploying production-ready conversational AI applications.

Context7 provides up-to-date, version-specific code documentation directly to LLMs and AI code editors, eliminating outdated examples and hallucinations for more accurate code generation.

vLLM is a high-throughput and memory-efficient open-source library designed for fast and easy serving of large language models.

A production-grade, open-source platform for building and deploying AI-powered instant messaging bots across various chat platforms.

An LLM-powered framework for deep document understanding, semantic retrieval, and context-aware Q&A, leveraging RAG and advanced reasoning agents for enterprise knowledge management.

A powerful AI prompt optimization tool that enhances AI output quality through intelligent, multi-model, and multi-platform prompt refinement.

AstrBot is an open-source, all-in-one AI agent chatbot platform and development framework that integrates with various instant messaging apps and LLMs, offering scalable conversational AI infrastructure.

AxonHub is an open-source AI gateway that enables seamless integration with over 100 LLMs using any SDK, featuring built-in failover, load balancing, cost control, and end-to-end tracing.

An open standard and full-stack framework for building token-efficient, streaming-first generative UIs using a compact language and React runtime.

Amazon Bedrock AgentCore provides a framework-agnostic and model-agnostic infrastructure for securely deploying and operating advanced AI agents at scale, with this repository offering practical samples and tutorials.

An open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities to provide a superior context layer for Large Language Models (LLMs).

MemOS is an AI memory operating system designed for LLMs and AI agents, providing persistent, context-aware, and multi-modal memory for enhanced skill reuse and evolution across tasks.

A Python framework for building reliable, predictable, and observable Generative AI agents with minimal overhead.

MaiBot is an LLM-based intelligent agent designed to be a human-like digital companion, prioritizing warmth, authenticity, and genuine connection over perfection or efficiency.

A JVM-based framework for building intelligent agents that dynamically combine LLM interactions with custom code and domain models to achieve complex goals.

A multi-agent framework for studying emergent behaviors and scaling laws in AI systems through simulation and interaction.

An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production-quality AI applications, including agents, LLMs, and ML models.

Automates complex browser-based workflows using LLMs and computer vision, providing a resilient and adaptive solution for web interaction.

A unified and efficient framework for fine-tuning over 100 large language models (LLMs) and vision-language models (VLMs) with both CLI and Web UI.

Jan is an open-source, privacy-focused desktop application that allows users to run large language models (LLMs) locally and offline, serving as a powerful alternative to cloud-based AI services like ChatGPT.

An open-source platform for building enterprise-grade AI agents, integrating RAG, robust workflows, and multi-modal capabilities to enhance smart Q&A and automate complex business scenarios.

An open-source ETL solution for transforming complex documents into clean, structured data formats, optimized for language models.

LightRAG is a simple and fast framework for Retrieval-Augmented Generation, designed to enhance LLM performance with external knowledge.

MNN is a blazing-fast, lightweight deep learning inference engine optimized for high-performance on-device AI and Large Language Models.

LlamaIndex is an open-source framework designed to build intelligent agentic applications by connecting Large Language Models (LLMs) with private or custom data sources, focusing on document understanding and OCR.

Run open-source large language models locally on your machine with a simple CLI, REST API, and client libraries.

An AI agent framework that enables continuous learning and evolution from live conversations, requiring no GPU for deployment.

An agent-oriented programming framework for Java, enabling developers to build production-ready LLM-powered applications with intelligent agents, ReAct reasoning, and robust control mechanisms.

An open-source, universal memory layer for AI agents, enabling persistent state management, learning, and recall across sessions for LLM-powered applications.

Integrates Large Language Models (LLMs) and AI coding agents directly into Neovim for an enhanced, AI-powered development workflow.

A self-hostable AI second brain that integrates with local/online LLMs to provide answers from your documents and the web, build custom agents, and automate research.

A programming framework for building multi-agent AI applications that can operate autonomously or collaboratively with humans.

Wren AI is an open-source GenBI agent that transforms natural language questions into accurate SQL, charts, and BI insights, powered by a semantic layer for data governance and trustworthiness.

A free and open-source framework designed for efficient fine-tuning of large language models.

A curated repository of leaked system prompts from various large language model (LLM) services, valuable for research and understanding LLM behavior.

An autonomous AI agent designed for novel writing, capable of generating, auditing, and revising stories across diverse genres, with human oversight.

DeepChat is an open-source desktop AI agent platform that unifies multiple LLMs, tools, and agents, providing a seamless experience for both cloud and local AI models.

Mem0 provides a universal, intelligent memory layer for AI agents, enabling personalized and context-rich interactions across various applications.

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes for human-like, context-aware document retrieval, outperforming traditional vector-based methods.

Botpress is an open-source platform designed for rapidly building, deploying, and managing next-generation AI chatbots and intelligent agents powered by large language models (LLMs) like OpenAI.

A terminal-based agentic coding assistant that integrates with various LLMs and developer tools to streamline coding workflows.

An open-source SvelteKit web application providing a customizable chat interface for OpenAI-compatible Large Language Models, powering HuggingChat.

A privacy-focused, self-hosted AI answering engine that integrates local and cloud LLMs to deliver accurate, cited answers from diverse sources.

A terminal tool that detects your hardware and recommends optimal LLM models, providing performance benchmarks for local execution.

A unified, production-ready inference API for deploying and serving open-source language, speech, and multimodal AI models on various infrastructures.

A next-generation training engine optimized for ultra-large Mixture-of-Experts (MoE) models, offering superior efficiency and scalability.

A comprehensive tutorial guiding users from foundational theories to practical implementation of AI-native intelligent agent systems.

An AI developer platform for tracking, visualizing, and managing machine learning models from experimentation to production.

A unified Python framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs and a comprehensive model catalog.

A Next.js web application that integrates AI capabilities with draw.io diagrams, enabling creation, modification, and enhancement through natural language commands.

An open-source AI engine enabling local execution of various AI models (LLMs, vision, voice, image, video) on diverse hardware, including CPU-only setups.

An educational project providing step-by-step code to build a ChatGPT-like Large Language Model (LLM) from scratch using PyTorch.

A production-ready framework for building controlled, consistent, and predictable customer-facing AI agent interactions with LLMs, optimized for context engineering.

A universal machine learning compiler and high-performance deployment engine for large language models, enabling native execution across diverse platforms.

FlagEmbedding (BGE) is a comprehensive toolkit offering state-of-the-art embedding models for efficient search, Retrieval-Augmented Generation (RAG), and various multimodal AI applications.

Acontext is an open-source skill memory layer for AI agents that automatically captures learnings from agent runs and stores them as readable, editable, and shareable skill files.

An agentic framework leveraging AI to autonomously generate and refine professional PowerPoint presentations with deep research integration and visual design capabilities.

An open-source memory layer for AI coding agents, enhancing context, collaboration, and seamless integration across various IDEs and LLMs.

A modular graph-based Retrieval-Augmented Generation (RAG) system designed to extract structured data from unstructured text using LLMs to enhance reasoning on private data.

An enterprise-grade, all-in-one AI application development framework supporting multi-vendor LLM integration, secure knowledge bases, visual workflow orchestration, and intelligent agent deployment.

An in-page JavaScript GUI agent that enables natural language control over web interfaces, streamlining complex workflows and enhancing web accessibility.

Leveraging AI models for one-click video commentary and editing, enabling efficient content creation.

A platform-agnostic Model Context Protocol (MCP) server enabling scalable mobile automation and development across iOS and Android devices, emulators, and simulators.

A low-level orchestration framework for building, managing, and deploying resilient, stateful AI agents using a graph-based approach.

Heretic is an AI model utility that automatically removes censorship and safety alignment from transformer-based language models without requiring expensive post-training.

An AI-powered customer service bot for Xianyu, offering 24/7 automated support, multi-expert decision-making, smart negotiation, and context-aware conversations.

A fullstack React SDK for building AI agents that dynamically render user interfaces based on natural language input.

DeepAnalyze is an agentic LLM that autonomously performs data science tasks, generating professional analysis reports with a single click.

An AI-powered tool for comprehensive video subtitling, offering speech-to-text, intelligent segmentation, LLM-based optimization, translation, and video synthesis.

A modular framework built with LangGraph for developing advanced Agentic RAG systems, offering both learning materials and an extensible architecture.

An AI-driven local automation assistant that acts as a personal data warehouse and tool orchestrator for any LLM, enabling cross-vendor memory, file storage, and real-world actions.

A comprehensive collection of over 80 practical examples, tutorials, and recipes for building powerful LLM-powered applications.

A comprehensive platform enabling users to create personalized AI twins by fine-tuning Large Language Models with their unique chat history, capturing individual style and bringing digital selves to life.

A Rust library designed for building scalable, modular, and ergonomic applications powered by Large Language Models.

TuriX empowers AI models to directly interact with and control your desktop, automating complex tasks across various applications with high accuracy.

A multi-agent LLM framework designed to simulate real-world trading firms, enabling collaborative evaluation and informed financial trading decisions.

An accessible knowledge sharing platform for Large Language Models (LLMs), designed to help individuals understand complex concepts and excel in LLM-related job interviews.

An idiomatic, open-source Java library simplifying the integration of Large Language Models (LLMs) into JVM applications with unified APIs and a comprehensive toolbox.

A Python framework for building autonomous and traditional AI agents, offering robust tools, prebuilt components, and integrated OCR capabilities.

A TypeScript library that leverages Large Language Models to extract structured data from any webpage.

An official guide and collection of recipes for building applications with the Llama model family, covering inference, fine-tuning, and RAG.

A comprehensive and curated list of tools, projects, and resources built around the rapidly evolving LangChain framework.

A comprehensive, free online course from Hugging Face designed to teach the fundamentals and advanced techniques of building AI agents.

LazyLLM simplifies the creation and iterative optimization of multi-agent large language model (LLM) applications with a low-code approach.

A powerful application that transforms diverse unstructured data sources into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

A Python SDK and platform providing comprehensive observability, monitoring, and evaluation tools for AI agents, from prototype to production.

A comprehensive, full-stack guide to Retrieval Augmented Generation (RAG) technology for large language model application development, covering theory, practice, and engineering best practices.

A lightweight Python utility for converting diverse file formats and office documents into structured Markdown, optimized for Large Language Models (LLMs) and text analysis pipelines.

A comprehensive, job-oriented guide for AI Agent development, covering core technologies, practical projects, and interview preparation for LLM-related roles.

A repository showcasing various advanced Retrieval-Augmented Generation (RAG) techniques through detailed notebook tutorials.

LangChain Go is a powerful framework that simplifies building large language model (LLM) applications in Go, leveraging composability.

A data framework designed to integrate custom data with large language models in JavaScript/TypeScript environments.

An enterprise-grade platform for easily deploying agentic RAG applications in your own cloud infrastructure, offering an alternative to hosted solutions like OpenAI's custom GPTs.

Build and customize RAG pipelines and chatbots over your data using natural language, powered by Streamlit.

An AI-powered research assistant for deep, agentic research, supporting local and cloud LLMs, multiple search sources, and ensuring data privacy with local, encrypted storage.

A Kotlin-based multiplatform framework for building predictable, fault-tolerant, and enterprise-ready AI agents with idiomatic JVM/Kotlin APIs.

An AI-powered cross-platform desktop application for stock analysis, offering market data, news, financial insights, and stock picking features across multiple global markets.

An AI-powered search engine with a generative UI, offering quick and adaptive search modes, multiple AI and search providers, and robust deployment options.

A unified Ruby API to interact with various Large Language Models (LLMs) from different providers, simplifying AI integration into Ruby and Rails applications.

Ax is a TypeScript framework that simplifies building reliable AI applications by abstracting prompt engineering and LLM provider complexities, allowing developers to define inputs and outputs.

An AI-powered add-on for paperless-ngx that leverages LLMs and advanced OCR to automate document title, tag, correspondent, and custom field generation, streamlining digital document management.

A Python SDK that simplifies the creation and deployment of AI agents using a model-driven approach, supporting diverse LLMs and advanced features.

A production-ready toolkit enabling developers to integrate private, offline, and fast on-device AI capabilities like LLMs, speech-to-text, and text-to-speech into their applications across various platforms.

A powerful desktop client for various Large Language Models (LLMs) like ChatGPT and Claude, offering a unified interface across multiple platforms.

A command-line tool and library that generates Infrastructure-as-Code, configurations, and utilities using large language models.

A self-hosted, local-first cognitive memory engine providing real long-term memory for LLM applications and AI agents, distinct from RAG or vector databases.

A Laravel package providing a fluent interface to integrate and manage Large Language Models (LLMs) from various AI providers.

A signal-driven intelligent router designed to optimize, secure, and adapt mixture-of-models for AI infrastructure across cloud, data center, and edge environments.

A high-performance inference and deployment toolkit for Large Language Models (LLMs) and Vision-Language Models (VLMs) based on PaddlePaddle.

LMCache is an LLM serving engine extension designed to significantly reduce Time-To-First-Token (TTFT) and boost throughput by intelligently reusing KV caches across various storage tiers and serving instances.

An easy-to-use, scalable, and high-performance open-source framework for Reinforcement Learning from Human Feedback (RLHF), leveraging Ray and vLLM for distributed training of LLMs and VLMs.

A production-ready platform for structured data extraction and instruction calling using ML, LLM, and Vision LLM technologies.

llama-swap enables seamless hot-swapping and management of multiple local generative AI models, acting as a unified API gateway compatible with OpenAI and Anthropic standards.

A low-code MCP framework for building complex and innovative RAG pipelines, standardizing components and enabling precise orchestration.

Aix-DB is an intelligent data analysis system leveraging large language models and RAG technology to transform natural language queries into data insights and visualizations.

An open-source AI platform that unifies ML pipelines and agentic workflows, abstracting infrastructure complexity for ML/AI engineers.

A comprehensive collection of extracted system prompts, messages, and developer instructions from leading AI chatbots and coding assistants.

A radically simple yet highly performant AI agent for software engineering, capable of solving GitHub issues and assisting in command-line tasks.

An open-source, offline-deployable RAG and Agent application built with Langchain, supporting various LLMs for private, local knowledge base Q&A.

A semantic caching library for LLM queries, designed to drastically cut API costs and accelerate response times.

Assemble, configure, and deploy autonomous AI Agents directly in your browser.

A comprehensive Chinese-language tutorial for LangChain, guiding developers to build powerful applications powered by large language models.

A hands-on course to learn LLMs, LLMOps, and vector databases by building, training, and deploying a real-time financial advisor LLM system.

An open-source BaaS platform that unifies hundreds of LLM models and provides comprehensive tools for developing, deploying, and managing AI-native applications and LLM-based agents.

An open-source Python library providing a LangChain-compatible implementation of the ChatGPT Code Interpreter for sandboxed code execution.

An intelligent dialogue system leveraging RAG technology to build custom Q&A systems from diverse knowledge bases.

A free and open-source Android application for local and remote interaction with various large language models, offering features like on-device inference and API key integration.

An open-source Python library for comprehensive testing, evaluation, and red teaming of LLM agents and AI systems, designed for dynamic, multi-turn interactions.

An open collection of methodologies, tools, and step-by-step instructions for successful training, fine-tuning, and inference of large language and multi-modal models.

A production-ready RAG framework that provides modular, API-driven components and a UI to streamline the deployment and management of Retrieval Augmented Generation applications.

Build machine learning models from natural language prompts using an AI-powered multi-agent system.

A comprehensive practical guide and accompanying code repository for LLM engineers, covering the full lifecycle of building, deploying, and monitoring advanced LLM and RAG applications on AWS with LLMOps best practices.

An open-source, cloud-native, all-in-one MLOps platform designed for the full lifecycle management of machine learning, deep learning, and large language model development and deployment.

A PyTorch library enabling accessible large language models through k-bit quantization, significantly reducing memory consumption for both inference and training.

A low-code, declarative framework for building and deploying custom large language models (LLMs) and other deep neural networks with ease and efficiency.

A cutting-edge framework for multi-agent collaboration to automate real-world tasks using AI.

Fay is an AI agent framework designed to connect digital humans (2.5D, 3D, mobile, PC, web) and large language models (OpenAI compatible, DeepSeek) with various business systems.

A comprehensive and curated collection of deep learning study notes, integrating content from leading educators like Andrew Ng, Li Mu, and TuDui, covering CV, NLP, and Large Language Models.

Automates data-driven AI R&D processes using AI agents, excelling in machine learning engineering tasks.

An AI-powered tool that generates high-definition short videos automatically from a given topic or keywords, including script, footage, subtitles, and background music.

Empowers AI assistants to directly interact with and automate tasks within the Unity Editor, streamlining game development workflows.

A self-hosted AI accounting application that automates expense and income tracking for freelancers and small businesses using LLMs to analyze financial documents.

A command-line tool and Python library to interact with various large language models, both remote APIs and local models.

An open-source deep research agent designed for complex research and prediction tasks, demonstrating state-of-the-art performance on various AI benchmarks.

An open source, extensible AI agent that automates complex engineering tasks from start to finish, working locally with any LLM.

Gitingest transforms any Git repository into a structured, prompt-friendly text digest, optimized for large language models to understand codebases efficiently.

A Python library that leverages LLMs and graph logic to simplify web scraping and data extraction from various sources.

An ultra-lightweight, open-source personal AI agent platform designed for efficiency and broad compatibility across various LLM providers and communication channels.

A comprehensive GitHub repository offering 22 hands-on Jupyter Notebook tutorials on prompt engineering techniques, from basic to advanced, for leveraging large language models.

A command-line tool powered by AI large language models to quickly generate shell commands, code snippets, and documentation, significantly boosting developer productivity.

A Python library leveraging LLMs to extract structured information from unstructured text with precise source grounding and interactive visualization.

An AI-powered web application for generating comprehensive, privacy-focused deep research reports using various LLMs and web search.

A framework for building realtime, programmable voice AI agents that can see, hear, and understand.

A comprehensive, continuously updated collection of the best resources for Large Language Models (LLMs), covering various aspects from data processing to advanced applications.

A high-performance, in-browser LLM inference engine with OpenAI API compatibility, leveraging WebGPU for local, private AI.

A plugin that dramatically reduces LLM token usage by making AI agents communicate in a concise, 'caveman-like' style, while preserving full technical accuracy.

GPT Pilot is an AI developer companion designed to build complete, production-ready applications, automating up to 95% of the coding process with human oversight.

A comprehensive list of free and trial-based LLM inference resources accessible via API.

An open-source memory library and managed service for building stateful AI agents that learn and adapt over time.

A Google-built open-source framework simplifying the development and deployment of full-stack AI applications across JavaScript, Go, and Python.

An open-source, graph RAG-based conversational knowledge base tool built with TiDB Serverless Vector Storage, offering intelligent search and instant answers.

MineContext is an open-source, proactive context-aware AI partner that enhances productivity by understanding your digital world and delivering timely insights.

A framework providing ready-to-deploy templates for building scalable, high-accuracy RAG and AI enterprise search applications with live data synchronization.

A comprehensive AI development tutorial using Spring Boot 3 and Spring AI to build AI applications and autonomous agents, enhancing developers' AI skills and career competitiveness.

DeepSearcher is an open-source platform that leverages LLMs and vector databases to enable deep research, intelligent Q&A, and comprehensive reporting on private enterprise data.

A free, hands-on course to build a production-ready LLM & RAG system, including a personalized AI replica, applying LLMOps best practices.

A comprehensive repository offering practical implementations and evaluation guidance for advanced and agentic Retrieval-Augmented Generation (RAG) techniques.

A GPU-accelerated, scalable toolkit for multimodal data preprocessing and curation, designed to train better AI models faster.

A high-performance, scalable JAX-based open-source library for training large language models on Google Cloud TPUs and GPUs.

An end-to-end platform for fine-tuning, evaluating, and deploying open-source Large Language Models (LLMs) and Vision Language Models (VLMs).

Easy Dataset is a powerful application for creating high-quality datasets for LLM fine-tuning, RAG, and model evaluation, featuring intelligent document processing and a comprehensive evaluation system.

A no-code GUI and framework for easily fine-tuning state-of-the-art large language models (LLMs).

A Python library for generating and curating high-quality synthetic data for AI model training and structured data extraction.

An open-source AI Agent that automates end-to-end software engineering tasks by integrating with developer tools, planning, executing, and iterating for successful results.

CosyVoice is an advanced multi-lingual large language model-based text-to-speech system offering state-of-the-art voice generation, cloning, and full-stack deployment capabilities.

A comprehensive Chinese technical book on Large Language Models, offering a systematic framework and roadmap for beginners with a deep learning background, authored by leading experts.

A collection of guides and code for efficiently fine-tuning large language models using PEFT (LoRA) and Hugging Face transformers.

A specialized hub providing models, datasets, and fine-tuning techniques to enhance Large Language Models' performance in Text-to-SQL, Text-to-NLU, and Text-to-GQL tasks.

A toolkit for quantizing (compressing) Large Language Models (LLMs) with hardware acceleration across various GPUs and CPUs, integrating with popular inference frameworks.

Firefly is an open-source, all-in-one tool designed for efficient pre-training, instruction fine-tuning, and DPO of a wide range of mainstream large language models, optimized for resource-constrained environments.

A cost-effective solution for finetuning ChatGLM-6B with LoRA, enabling personalized large language models.

An efficient framework for fine-tuning ChatGLM-6B and ChatGLM2-6B models using PEFT methods, including LoRA, QLoRA, and RLHF, with a Web UI.

An open-source platform designed for AI researchers to unify fragmented ML tooling, enabling seamless training, evaluation, and scaling of models from local hardware to GPU clusters.

A comprehensive Linux-based guide for beginners to quickly fine-tune and deploy open-source LLMs and MLLMs, tailored for Chinese learners.

An open-source project providing Chinese LLaMA and instruction-tuned Alpaca large language models, optimized for Chinese NLP and local deployment on CPU/GPU.

A Python library implementing LoRA (Low-Rank Adaptation) to efficiently fine-tune large language models by significantly reducing trainable parameters and storage requirements.

BELLE is an open-source project dedicated to fostering the development of Chinese conversational large language models, aiming to make LLMs accessible to everyone.

LongLoRA is an efficient fine-tuning method and associated models/datasets designed to extend the context window of Large Language Models (LLMs) for processing longer inputs.

YaYi is an open-source Chinese Large Language Model, built on LLaMA 2 & BLOOM, designed for secure, reliable, and domain-specific applications through extensive instruction tuning.

A comprehensive open-source textbook and code repository dedicated to Reinforcement Learning from Human Feedback (RLHF) and post-training language models.

An asynchronous reinforcement learning framework enabling personalized AI agent training through natural language conversations and scalable real-world deployments.