Large Language Model topic
A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.
AGiXT
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, a...
scikit-llm
Seamlessly integrate LLMs into scikit-learn.
InternGPT
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing,...
superagent
🥷 Run AI-agents with an API
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
h2ogpt
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
SuperAGI
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
chainlit
Build Conversational AI in minutes ⚡️
femtoGPT
Pure Rust implementation of a minimal Generative Pretrained Transformer