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.
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
TalkToFigma: MCP integration between Cursor and Figma, allowing Cursor Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
LangServe 🦜️🏓
Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.
Open-source platform for extracting structured data from documents using AI.
This project is a digital human that can talk and listen to you. It uses OpenAI's GPT to generate responses, OpenAI's Whisper to transcript the audio, Eleven Labs to generate voice and Rhubarb Lip Sync to generate the lip sync.
A centralized manager for Model Context Protocol (MCP) servers with dynamic server management and monitoring
GPT Auth provides a user-friendly solution to quickly setup oauth for your custom GPT and self-host it.
Pentest Copilot is an AI-powered browser based ethical hacking assistant tool designed to streamline pentesting workflows.
Morpheus - A Network For Powering Smart Agents - Compute + Code + Capital + Community
Reformatted Alignment
Cypher graph database for Javascript
Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
Polyglot is a fast, elegant, and free translation tool using AI.
Keyframer: Empowering Animation Design Using Large Language Models
Use any LLM from the command line.