Large language models (LLMs) are commonly used for natural language processing tasks like text generation, translation, and summarization. Find llm links shared by the community.

paperless-gpt enhances document organization using AI and OCR, integrating seamlessly with paperless-ngx.

ADK is a flexible Python framework for building and deploying AI agents, offering a modular approach and rich tool integration.

LightRAG is a framework for retrieval-augmented generation, enhancing LLM capabilities with multimodal data handling and unified storage solutions.

Plandex is an AI development tool for managing large coding tasks efficiently in a terminal environment.

Eino is a Golang framework for developing LLM applications, integrating AI capabilities with a robust component ecosystem.

Open SWE is a framework for building internal coding agents, enhancing automation and integration in engineering workflows.

Unsloth is a web UI for training and running AI models locally, enhancing efficiency and performance.

xLLM is an efficient inference engine for large language models, optimized for AI accelerators, enabling cost-effective enterprise deployment.

RubyLLM simplifies AI integration with a unified Ruby API for various models and functionalities.

LocalAI is an open-source AI engine for running models locally without GPU requirements, ensuring privacy and flexibility.