Tags: #llm

An open-source LLM engineering platform for developing, monitoring, evaluating, and debugging AI applications.

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

Unsloth Studio provides a unified web interface for efficiently running and training open-source AI models locally across various operating systems and hardware.

An LLM-driven intelligent stock analysis system providing automated daily insights, decision dashboards, and multi-channel notifications for A/H/US markets at zero operational cost.

A self-improving AI agent platform that learns from experience, adapts to user needs, and operates across various platforms and LLM providers.

An AI-driven development platform providing an SDK, CLI, GUI, and cloud services to build, run, and scale autonomous software agents for various development tasks.

An ultimate workspace for building, collaborating with, and managing AI agent teammates that co-evolve with users.

An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows from prototype to production.

Memori provides SQL-native, LLM-agnostic memory infrastructure for AI agents, transforming execution and conversation into structured, persistent state.

A TypeScript framework for building, tuning, and scaling reliable AI-powered applications and autonomous agents, integrating seamlessly with modern web stacks.

LangChain is an agent engineering platform and framework for building LLM-powered applications by chaining interoperable components and integrating diverse data sources.

The ultimate guide to AI Agent Skills, providing quick starts, curated resources, and practical tools to enhance AI's specialized capabilities and streamline task automation.

Onyx is an open-source AI platform providing a feature-rich interface for Large Language Models, enabling advanced AI chat with RAG, web search, and agentic capabilities.

An open-source AI agent harness designed to orchestrate multiple large language models for efficient code generation and complex task automation, avoiding vendor lock-in.

Repomix is a command-line interface tool that efficiently packages entire code repositories into a single, AI-friendly file, optimizing them for large language models and other AI tools.

A Golang framework for building LLM applications, offering reusable components, an Agent Development Kit, and flexible composition for complex AI workflows.

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

A comprehensive framework from ModelScope for efficiently fine-tuning, evaluating, and deploying over 1000 large language models and multimodal large models using advanced techniques.

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

Test, evaluate, and red-team your LLM applications to ensure security, reliability, and optimal performance across various models.

A provider-agnostic TypeScript toolkit designed to simplify the development of AI-powered applications and agents across various UI frameworks.

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

PEFT is a state-of-the-art library for Parameter-Efficient Fine-Tuning, drastically reducing the computational and storage costs of adapting large pretrained models.

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

A lightweight, powerful Python framework for building and orchestrating multi-agent LLM workflows, supporting various LLMs and offering features like tools, guardrails, and tracing.

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

An LLM-powered framework for enterprise-grade document understanding, semantic retrieval, and context-aware Q&A using RAG and ReACT agents.

AstrBot is an open-source, all-in-one agent chatbot platform that integrates AI capabilities with various instant messaging applications, providing scalable conversational AI infrastructure.

An open-source AI gateway enabling seamless integration with 100+ LLMs using any SDK, offering failover, load balancing, cost control, and end-to-end tracing to prevent vendor lock-in.

OpenUI is a full-stack Generative UI framework that provides a compact, streaming-first language and a React runtime for building token-efficient, LLM-powered user interfaces.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs.

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 blend LLM interactions with custom code and domain models, featuring sophisticated planning capabilities.

An open-source AI engineering platform for managing the complete lifecycle of AI applications, including agents, LLMs, and ML models, from debugging and evaluation to monitoring and optimization.

Stagehand is an SDK that combines AI and code for building reliable, flexible, and self-healing web automations.

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

A user-friendly, extensible, and feature-rich self-hosted AI platform supporting various LLM runners like Ollama and OpenAI-compatible APIs, with built-in RAG capabilities.

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.

An open-source, privacy-focused desktop application for running large language models (LLMs) locally, offering an offline alternative to cloud-based AI services.

An open-source platform for building enterprise-grade AI agents, integrating RAG, workflows, and tool-use for intelligent Q&A and complex business scenarios.

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

A Python framework and cloud service designed to empower AI agents to interact with and automate tasks on websites.

LightRAG is a simple and fast Retrieval-Augmented Generation (RAG) system designed for efficient and scalable knowledge retrieval and generation with Large Language Models.

A blazing-fast, lightweight inference engine from Alibaba, powering high-performance on-device LLMs and Edge AI.

LlamaIndex is an open-source framework for building agentic applications, specializing in document processing, OCR, parsing, and indexing to empower LLMs.

Easily run, manage, and interact with open-source large language models locally on your machine.

Mobile-Agent is a powerful AI agent family designed for multi-platform GUI automation, leveraging advanced large language models.

An AI agent framework enabling continuous meta-learning and evolution from live conversations, requiring no GPU.

An AI coding companion for Neovim, integrating various LLMs and coding agents to enhance developer workflow.

A self-hostable AI second brain that integrates with various LLMs and data sources to provide personalized answers, automate research, and create custom AI agents.

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 and flexible fine-tuning of large language models.

A lightweight, multi-platform AI assistant framework powered by large language models, capable of autonomous task planning, tool use, and continuous learning, deployable as a personal AI or enterprise digital employee.

A curated collection of leaked system prompts from various widely used Large Language Model (LLM) services, valuable for research and analysis.

An autonomous AI agent for novel writing, covering creation, auditing, and revision with human review gates.

DeepChat is an open-source desktop AI agent platform that unifies various large language models, tools, and agents for a seamless and private AI interaction experience.

Mem0 is a universal memory layer that enhances AI agents with intelligent, personalized, and scalable long-term memory capabilities.

An enterprise-ready, model-agnostic SDK for building, orchestrating, and deploying intelligent AI agents and multi-agent systems.

PageIndex is a vectorless, reasoning-based RAG system that builds a hierarchical tree index from long documents for agentic, context-aware retrieval, simulating human expert navigation.

An open-source platform for building, deploying, and managing next-generation AI chatbots and LLM-powered agents.

An agentic AI coding assistant that integrates large language models and LSPs directly into your terminal for enhanced coding workflows.

An open-source SvelteKit chat interface for Large Language Models, compatible with OpenAI APIs, powering HuggingChat.

Vane is a privacy-focused, self-hosted AI answering engine that integrates local and cloud LLMs with web search to deliver accurate, cited answers.

A terminal tool to identify LLM models that optimally run on your specific hardware by analyzing system specs and model characteristics.

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

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

A unified framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs optimized for on-device and edge deployment.

An open-source AI engine that allows running various AI models (LLMs, vision, voice, image, video) locally on any hardware, including CPU-only, with drop-in API compatibility for commercial services.

A comprehensive, step-by-step guide and codebase for building a ChatGPT-like Large Language Model from scratch using PyTorch.

A universal machine learning compiler and high-performance engine for deploying large language models efficiently across diverse hardware platforms.

A comprehensive toolkit providing state-of-the-art embedding and reranker models for efficient information retrieval and Retrieval-Augmented Generation (RAG) applications.

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

GraphRAG is a modular, graph-based Retrieval-Augmented Generation (RAG) system that leverages LLMs to extract structured data from unstructured text, enhancing reasoning on private datasets.

An in-page JavaScript library enabling natural language control and automation of web interfaces directly within the browser.

A lightweight Python library for building modular, asynchronous, and composable AI pipelines, enabling efficient, parallel, and multimodal content processing for Generative AI applications.

An AI-powered tool that automates video commentary and editing, offering a one-stop solution for scriptwriting, automated video editing, voiceover, and subtitle generation to boost efficient content creation.

A Model Context Protocol (MCP) server enabling scalable, platform-agnostic mobile automation and interaction for iOS and Android devices, optimized for AI agents and LLMs.

A tool for automatically removing censorship and safety alignment from transformer-based language models without expensive post-training.

A flexible CLI-first framework for building, evaluating, and interacting with sophisticated AI agents and workflows, offering comprehensive LLM support and advanced debugging features.

An AI-powered 24/7 customer service bot for Xianyu, featuring multi-agent decision-making, smart negotiation, and context-aware conversations.

A React toolkit for building AI agents that dynamically render user interfaces, handling streaming, state, and multi-component orchestration.

DeepAnalyze is the first agentic LLM for autonomous data science, capable of automatically analyzing vast datasets and generating professional reports with a single click.

An AI-powered tool for comprehensive video subtitling, including speech recognition, optimization, translation, and video synthesis.

A modular framework for building advanced Agentic RAG systems using LangGraph, featuring intelligent query processing, conversation memory, and human-in-the-loop clarification.

An AI-driven local automation assistant that uses natural language to control computers and learns from user demonstrations.

A minimalist, Bash-centric framework for building true AI agents, emphasizing model-centric agency over prompt plumbing.

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

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

A multi-agent LLM framework designed for financial trading research, simulating real-world trading firm dynamics for market analysis and decision-making.

A comprehensive, curated list of open-source GitHub repositories focused on ChatGPT, OpenAI API, and Codex, offering a centralized hub for AI development resources.

A comprehensive learning platform offering structured knowledge, interview questions, and paper analysis for Large Language Models (LLMs).

LangChain4j is an open-source Java library that simplifies the integration of Large Language Models (LLMs) into Java applications.

Visually build and deploy custom AI agents and LLM applications with a drag-and-drop interface.

A TypeScript library to extract structured data from any webpage using Large Language Models (LLMs).

A comprehensive guide and collection of recipes for building with the Llama model family, covering inference, fine-tuning, RAG, and end-to-end use cases.

A comprehensive and curated list of tools, projects, and learning resources built around the rapidly growing LangChain framework for LLM development.

A low-code development tool for building and iteratively optimizing multi-agent LLM applications with agility and efficiency.

Argilla is a collaboration tool for AI engineers and domain experts to build and maintain high-quality datasets for various AI models, from NLP to LLMs and multimodal systems.

Transforms diverse unstructured data into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

A Python SDK and platform for comprehensive observability, monitoring, and cost management of AI agents and LLM applications.

A comprehensive, full-stack guide to Retrieval-Augmented Generation (RAG) technology, covering theory, practice, and engineering best practices for building LLM applications.

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

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

A Go language framework for building applications with Large Language Models (LLMs) through composability.

A deprecated JavaScript/TypeScript data framework designed to integrate custom data with large language models across various JS runtime environments.

Simplifies the deployment of agentic Retrieval Augmented Generation (RAG) applications within enterprise cloud infrastructure, offering an open-source alternative to custom GPTs.

A Streamlit app to build and query custom Retrieval-Augmented Generation (RAG) pipelines over your data using natural language.

An AI-powered research assistant for deep, agentic research, emphasizing local control, privacy, and multi-source information synthesis.

An AI-driven desktop tool for multi-market stock analysis, picking, and real-time alerts, integrating various large language models.

Morphic is an AI-powered search engine that provides dynamic, generative user interfaces for enhanced search experiences, integrating various AI models and search providers.

A unified Ruby API for integrating with diverse Large Language Models (LLMs) from multiple providers, streamlining AI application development.

Orchestrates up to eight AI models to identify and eliminate blind spots in coding tasks, ensuring high-quality software delivery through structured workflows and consensus mechanisms.

An AI-powered utility that integrates with paperless-ngx to enhance document digitalization through LLM-enhanced OCR, automatic titling, tagging, and field extraction.

A model-driven Python SDK for rapidly building and deploying AI agents, from simple assistants to complex autonomous workflows, with minimal code.

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 and mobile client for ChatGPT, Claude, and other large language models, offering an enhanced, local-first user experience.

An AI-driven command-line tool and library for generating Infrastructure-as-Code, configurations, CI/CD pipelines, and various code snippets using Large Language Models.

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 the efficiency, safety, and adaptability of multi-model AI systems across various environments.

LMCache is an LLM serving engine extension designed to significantly reduce Time-To-First-Token (TTFT) and boost throughput, especially for long-context scenarios, by intelligently reusing KV caches.

An easy-to-use, scalable, and high-performance open-source framework for Reinforcement Learning from Human Feedback (RLHF) based on Ray and vLLM.

Sparrow is a production-ready platform for structured data extraction and instruction calling from various documents and images using ML, LLM, and Vision LLM technologies.

A high-performance Go-based proxy for hot-swapping and managing multiple local generative AI models compatible with OpenAI and Anthropic APIs.

UltraRAG is a low-code framework leveraging the Model Context Protocol (MCP) to simplify the construction and orchestration of complex, innovative RAG pipelines for AI applications.

Aix-DB is an AI-powered conversational BI system that transforms natural language into data insights and visualizations using LLMs, RAG, and a multi-agent architecture.

An open-source Python library for evaluating, testing, and monitoring ML and LLM systems across experiments and production environments.

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 local and online Large Language Models for knowledge-based Q&A.

A semantic cache library for Large Language Models (LLMs) designed to significantly reduce API costs and accelerate response times.

A comprehensive Chinese-language guide to getting started with LangChain, enabling developers to build powerful applications powered by large language models.

Learn to design, train, and deploy a real-time financial advisor LLM system using a hands-on, three-pipeline approach.

An open-source Backend as a Service (BaaS) platform for developing, deploying, and managing LLM-based AI agents and applications.

An open-source LangChain implementation of the ChatGPT Code Interpreter, enabling sandboxed Python code execution for LLM applications.

An intelligent dialogue system leveraging RAG technology to build Q&A services based on your custom knowledge base.

A free and open-source Android application for local and remote interaction with various large language models, emphasizing speed and user-friendliness.

An AI-powered tool that automatically generates comprehensive, interactive wikis and documentation for GitHub, GitLab, and BitBucket repositories.

An open-source Python library for comprehensive evaluation, testing, and red teaming of LLM agents and agentic systems.

Self-host and serve any open-source LLM as an OpenAI-compatible API endpoint with ease.

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

A modular, API-driven RAG framework designed for building scalable, production-ready AI applications, addressing the complexities of deploying RAG systems beyond prototyping.

Build machine learning models from natural language prompts using an AI-powered agentic approach.

A comprehensive practical guide and accompanying codebase for building, deploying, and monitoring advanced LLM and RAG applications on AWS, emphasizing LLMOps best practices.

Deep Lake is an AI data runtime and database optimized for deep learning, offering multimodal data storage, querying, vector search, and streaming for LLM and deep learning applications.

A comprehensive, cloud-native, one-stop platform for machine learning, deep learning, and large language model development, covering the entire MLOps lifecycle.

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

Ludwig is a low-code, declarative deep learning framework designed to simplify the building, training, and deployment of custom AI models, including LLMs and neural networks.

A cutting-edge framework for multi-agent collaboration, enabling optimized workforce learning and robust real-world task automation.

ByteRover CLI provides persistent, structured memory and context management for autonomous AI coding agents through an interactive REPL interface.

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.

PandaWiki is an AI large model-driven open-source knowledge base system that helps you quickly build intelligent product documentation, technical documentation, FAQ, and blog systems, leveraging large models for AI creation, Q&A, and search capabilities.

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

Connects AI assistants like Claude and Cursor directly to the Unity Editor, empowering LLMs to automate game development tasks.

TaxHacker is a self-hosted AI accounting app that automates expense and income tracking for freelancers and small businesses by analyzing receipts, invoices, and transactions with LLMs.

A lightweight, TypeScript-native multi-agent orchestration framework that simplifies complex goal-oriented tasks into a single function call with automatic decomposition and parallel execution.

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

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

A comprehensive repository offering C++ and Python code examples for computer vision, deep learning, and AI research, complementing articles on LearnOpenCV.com.

A meticulously curated collection of must-read research papers on Large Language Model (LLM) agents, categorized for easy navigation and comprehensive understanding.

Gitingest transforms any Git repository or local codebase into a prompt-friendly text digest, optimized for use with Large Language Models.

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 lightweight, multi-platform AI assistant framework powered by large language models, capable of autonomous task planning, tool use, and continuous learning, deployable as a personal AI or enterprise digital employee.

A comprehensive repository offering 22 hands-on Jupyter Notebook tutorials on prompt engineering techniques for leveraging large language models.

An AI-powered command-line tool that streamlines the generation of shell commands, code snippets, and documentation, enhancing developer productivity.

A comprehensive, curated list of Large Language Model (LLM) APIs offering permanent free tiers for text inference.

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

A privacy-focused, AI-powered platform that leverages various large language models and web search to generate comprehensive deep research reports rapidly.

A comprehensive framework for building real-time, programmable, multi-modal voice AI agents capable of seeing, hearing, and understanding.

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

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

A skill/plugin that dramatically reduces LLM token usage by making AI agents communicate in a concise, 'caveman-like' style, while maintaining 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.

BAML is an AI framework that transforms prompt engineering into schema engineering, enabling developers to build reliable, type-safe AI workflows and agents across multiple programming languages.

A comprehensive, curated list of free and trial-based Large Language Model (LLM) inference APIs, detailing available models and their usage limits.

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

An open-source, multi-language framework by Google for rapidly building and deploying production-ready AI-powered applications.

AutoFlow is an open-source, Graph RAG-based conversational knowledge base tool leveraging TiDB Serverless Vector Storage for intelligent search and instant responses.

A proactive, context-aware AI assistant that enhances productivity by understanding your digital environment and proactively delivering insights.

A comprehensive AI development tutorial project based on Spring Boot 3 and Spring AI, guiding developers to build AI applications and agents with core AI technologies.

An open-source platform leveraging LLMs and vector databases to enable deep research, intelligent Q&A, and comprehensive reporting on private enterprise data.

A free, hands-on course teaching how to build and deploy production-ready LLM and RAG systems, including a personalized 'LLM Twin', using 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).

An open-source, AI-driven platform for converting code repositories into intelligent, searchable knowledge bases with conversational interaction.

An application for generating high-quality datasets for LLM fine-tuning, RAG, and 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 and associated course materials providing a systematic framework and roadmap for understanding Large Language Models, authored by leading experts.

Provides a collection of Colab notebooks for efficiently fine-tuning large language models using PEFT methods like 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 toolkit for efficient large language model training, supporting pre-training, instruction fine-tuning, and DPO with methods like LoRA and QLoRA.

A cost-effective solution for fine-tuning ChatGLM-6B using LoRA, enabling personalized large language models.

An efficient toolkit for fine-tuning ChatGLM-6B models using PEFT methods, enabling customization and deployment of large language models.

An open-source platform that unifies fragmented AI tooling, enabling researchers to seamlessly train, evaluate, and scale machine learning models from local hardware to GPU clusters.

A comprehensive Linux-based tutorial for deploying and fine-tuning open-source LLMs/MLLMs, tailored for Chinese beginners.

An open-source project providing Chinese LLaMA and Alpaca large language models, enhanced with Chinese vocabulary and data for improved understanding and local deployment on CPU/GPU.

A PyTorch 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 series, built on LLaMA 2 & BLOOM, designed to provide secure, reliable, and domain-specific AI capabilities for enterprise customers through extensive multi-domain instruction tuning.

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

A fully asynchronous reinforcement learning framework to train personalized AI agents from natural conversation feedback and enable scalable real-world agentic RL.

Distilabel is a framework for engineers to build fast, reliable, and scalable pipelines for synthetic data generation and AI feedback, based on verified research.

A modular open-source framework for training constrained value-aligned Large Language Models (LLMs) using Safe Reinforcement Learning from Human Feedback (RLHF).

A series of high-performance, cost-efficient large language models (LLMs) designed for general-purpose usage and advanced reasoning.

An all-in-one open-source platform for multimodal data labeling and annotation, supporting 3D LiDAR, image, and LLM training data with AI-fueled tools.