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.
Secure open source cloud runtime for AI apps & AI agents
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
Documentation of AnythingLLM by Mintplex Labs Inc.
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately deployable with vector search and a modern frontend.
The OpenAPI spec, AsyncAPI spec, and Postman collection for AssemblyAI's APIs
Python & JS/TS SDKs for embedding code execution capabilities in AI apps
Modelz is a developer-first platform for prototyping and deploying machine learning models.
The SAP Cloud SDK for AI documentation repository.
🕷️ Official Scrapegraph API Documentation 🤖
Source code for barrenechea.cl, where the website's construction takes place