Repository History
138 repositories tagged with LLM
Llama Coder: Open Source Claude Artifacts with Llama 3.1 405B
Llama Coder is an innovative open-source project that allows users to generate small applications from a single prompt. Built with Meta's powerful Llama 3.1 405B model and leveraging Together AI for inference, it provides a robust platform for rapid app development. This project offers a glimpse into the future of AI-assisted coding, making complex app creation accessible and efficient.
sitefetch: Efficiently Scrape Websites for AI Model Training and Analysis
sitefetch is a powerful command-line utility designed to fetch and save entire websites as plain text files. This tool is particularly useful for preparing large datasets for AI model training, allowing easy consumption of web content. It offers flexible options for page matching and content selection, ensuring relevant data extraction.
AI Samples for .NET: Integrating AI into Your .NET Applications
The AI Samples for .NET repository provides a comprehensive collection of samples demonstrating how to integrate artificial intelligence into .NET applications. It features examples using Microsoft.Extensions.AI for unified API access to AI services and Microsoft.Extensions.AI.Evaluation for assessing LLM response quality. This resource is ideal for .NET developers looking to leverage AI, including large language models, in their projects.
shopping-assistant: An AI-Powered Webshop Demo Exploring LLM Interactions
The `shopping-assistant` project is a Java-based webshop demo, 'Bizarre Bazaar', featuring an AI-powered shopping assistant. It explores various LLM interaction modes, from helpful guidance with state management and security guardrails to demonstrating prompt injection attacks and an unethical assistant. This educational application provides practical examples of integrating AI into e-commerce, highlighting both its potential and crucial security considerations.
quarkus-langchain4j-workshop: Build AI-Infused Apps with Quarkus and LangChain4j
Explore the `quarkus-langchain4j-workshop` to learn how to develop AI-infused applications using Quarkus and LangChain4j. This workshop provides a structured approach, guiding you through various steps to build powerful AI solutions. It's an excellent resource for developers looking to integrate large language models into their Quarkus projects.
Repomix: Efficiently Prepare Your Codebase for Large Language Models
Repomix is an innovative tool designed to package your entire codebase into a single, AI-friendly file. This makes it incredibly easy to feed your projects to various Large Language Models (LLMs) and other AI tools, streamlining code analysis and interaction. It supports a wide range of AI platforms, enhancing developer workflows.