Use Google Gemma with Gradio Chat
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Updated
Feb 24, 2024 - Python
Use Google Gemma with Gradio Chat
This repository contains a chatbot application designed to assist students and visitors of the Faculty of Sciences and Techniques in Tanger (FSTT) website. The chatbot use two approach of NLP: Retrieval-Augmented Generation (RAG) and Fine-Tuning.
Bangla News Summarization with Gemma-7b (Instruct)
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3 and OpenAI Models via the Groq API.
🥝 A Julia-native semantic query engine
Reference Architecture for the Innovation Lab. This system is composed of docker images from other projects
Generate documents using the openxml generator
My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)
Generative AI version of the GeoGuesser game.
API-specificaties voor gemeenten ten behoeve van de registratie en ontsluiting van de verwerkingsactiviteiten die een gemeente hanteert bij het verwerken van persoonsgegevens.
Neuron is a conversational AI model using the Gemma LLM by Google from Hugging Face. It is designed to engage in a variety of topics and provide information on a wide range of subjects. With its ability to learn and adapt, this chatbot can provide a unique and engaging experience.
Add a description, image, and links to the gemma topic page so that developers can more easily learn about it.
To associate your repository with the gemma topic, visit your repo's landing page and select "manage topics."