Popular GitHub Repositories for Lpu

This is a simple image generator using OpenAI API. you can generate images by entering short description of the image or by entering a keyword.

A versatile CLI and Python wrapper for Groq AI's breakthrough LPU Inference Engine. Streamline the creation of chatbots and generate dynamic text with speeds of up to 800 tokens/sec.

The GroqCloud API wrapper for Delphi provides access to models from Meta, OpenAI, MistralAI and Google on Groq’s LPUs, offering chat, text generation, image analysis, audio transcription, JSON output, tool integration, and content moderation capabilities.

Lightning is an ultra-fast AI chatbot powered by Groq LPUs (Language Processing Units), offering one of the fastest inference speeds on the market as of April 2024. With its advanced natural language processing capabilities and lightning-fast response times, Lightning provides an unparalleled conversational experience.

The Lightning ⚡️ AI Style Guide Assistant & Code Translator is a specialized adaptation of the Lightning Chatbot, designed to assist in maintaining consistency and accuracy in style guides. Leveraging Groq LPUs, it provides real-time style and grammar recommendations, making it an essential tool for editors and writers.

GROQ LPU Powered LLM chat engine

CodeAggregatorAI is a powerful Groq, Llama3 and Streamlit application designed to aggregate an entire GitHub repository into a single, organized Markdown file, making it easy to feed to AI systems for tasks like code summarization, question answering, code generation and fine-tuning. ?

⚡Powered by Groq LPUs and the latest (July 2024) Llama 3 Models to generate high-quality engineered prompts and datasets for fine-tuning AI models. Try this free Streamlit application designed to help you become a prompt engineering and fine-tuning pro.

Showcases an AI assistant built with Llama, leveraging GROQ for efficient querying and processing. Create an intelligent conversational agent.

A tool for Business Development Officers to automate outreach email generation based on job descriptions. Uses LangChain for web scraping, LLaMA 3.1 on Groq for NLP tasks, and ChromaDB for vector database queries, making client outreach faster and more efficient.

AI should be accessible to everyone, regardless of their technical background. The AI Engineering for Grandmas project is a step towards that vision. Gregory Kennedy