Showing 961-980 of 1,105 projects
RayLLM is a framework for serving large language models (LLMs) on the Ray distributed computing platform.
A curated list of tools and resources for running large language models (LLMs) locally on your own infrastructure.
An open-source AI agent that is compatible with multiple LLM models, allowing developers to easily build AI-powered applications.
A Python-based library that enables developers to chat with any codebase, powered by AI language models.
A desktop sandbox for connecting to large language models (LLMs) for secure computer use.
Comprehensive guide to learn Retrieval Augmented Generation (RAG) from basics to advanced.
A comprehensive survey on knowledge distillation techniques for large language models.
An official MCP server implementation for the Qdrant vector search platform, enabling AI coding tools integrations.
Jlama is a modern LLM inference engine for Java, enabling vibe coders to build AI-powered applications.
Token compression library for AI agentsโ5 techniques to cut LLM costs by ~50%.
A Home Assistant integration and model to control your smart home using a local large language model.
A Python library for integrating visual intelligence into Home Assistant, a popular home automation platform.
Open-source simulation engine for dynamic AI-driven Xianxia worlds using agentic workflows
AgentEvolver is a Python library for building self-evolving agent systems powered by large language models and reinforcement learning.
DriveLM is a graph visual question answering model for autonomous driving tasks, built using large language models.
An open-source toolkit for analyzing the internal workings of Transformer-based language models.
Fine-tune LLMs with online reinforcement learning for building AI-powered applications and agents.
LangChain for Rust, the easiest way to write LLM-based programs in Rust
A full-stack framework for building cross-platform mobile apps with AI capabilities using React Native and TypeScript.
A powerful tool for automated LLM fuzzing to help developers and security researchers identify and mitigate potential jailbreaks.
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