Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Automated Penetration Testing Agentic Framework Powered by Large Language Models
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Open-source offline translation library written in Python
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.