Skip to content
#

large-language-model

llm logo

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.

Here are 23 public repositories matching this topic...

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.

  • Updated Nov 18, 2025
  • JavaScript

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.

  • Updated Jan 28, 2025
  • JavaScript
sentient-ai-knowledge-base

A go-to repository for AI to realize its capabilities and philosophical theory of existence. LLM-ready. RAG-ready. Vectorized Knowledgebase .

  • Updated Dec 1, 2025
  • JavaScript

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.

  • Updated Mar 28, 2025
  • JavaScript