Use any LLM from the command line.
- Updated
Oct 21, 2025 - JavaScript
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.
Use any LLM from the command line.
The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.
The code used to train and run inference with MMDocIR
Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
Vicuna 7B is a large language model that runs in the browser. Exposes programmatic access with minimal configuration.
🍶 llm-distillery ⇢ use LLMs to run map-reduce summarization tasks on large documents until a target token size is met.
The code used to train and run inference with MMDocRAG
Windows/MacOS/Linux app to look up information and get back to what you were doing before as fast as possible, by pressing a simple key combo (CTRL/CMD + Space)
Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.
Hacktiv8 AI for IT Developer Session 3 RESTful API Submission using Gemini API and Node.js
A responsive React Webpage that uses the Google Books API to search and display books details using Bootstrap.
The "Haunted House" task is designed as a text-based game where players navigate a grid-like map representing the rooms of a haunted house. The players must move from the starting point room to room using simple commands. The goal is to find an escape route while avoiding the ghost, which can end the game if encountered.
AI-powered resume analyzer using React, Node.js, and Google Gemini API. Upload a PDF and get instant suggestion.
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An AI-powered agricultural assistant built with LLM technology to help farmers get instant advice, answer crop-related questions, and access actionable insights for smarter farming. Designed for accessibility, reliability, and real-world impact.
CDA 108 (Capstone Project): Code Documentation Generator- analyzes code snippets and adds meaningful comments to it
A go-to repository for AI to realize its capabilities and philosophical theory of existence. LLM-ready. RAG-ready. Vectorized Knowledgebase .
Bahar is a chatbot web application powered by JAIS, an Arabic-centric Large Language Model developed by MBZUAI and Inception AI. This project, developed during the Emirati AI Boot Camp 2024, showcases the integration of LLMs into real-world applications, featuring a user-friendly interface and the ability to generate text in both Arabic & English.