Rag (Retreival Augmented Generation) Python solution with LLama3, LangChain, Ollama and ChromaDB in a Flask API based solution
-
Updated
Feb 10, 2025 - Python
Rag (Retreival Augmented Generation) Python solution with LLama3, LangChain, Ollama and ChromaDB in a Flask API based solution
Use your open source local model from the terminal
Terminal based LLM UI allowing multi-LLMs in chat and saving/loading (plus a streamlit version)
LLaMA3-Quantization
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.
My first open source LLM API deployment - BritneyBot!
Finetuning LLaMA 3.2-1B-Instruct model using qLoRA and LoRA quantization PEFT methods
GenAI based search engine
This is a Python simple game developed using Pygame, where the red square (controlled by an AI) tries to escape from the black square (controlled by the player). The AI believes the player is an enemy and uses four commands - left, right, up, down - to flee from it.
Add a description, image, and links to the llama3-meta-ai topic page so that developers can more easily learn about it.
To associate your repository with the llama3-meta-ai topic, visit your repo's landing page and select "manage topics."