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📄➡️📚 Convert PDFs to a searchable vector database using GEMMA 7B and GROQ, accessible via a RESTful API. 🚀

Telegram bot that uses preset prompts to help users communicate like native English speakers.

Experience seamless, immersive voice-to-voice conversations using CLI and combined free AI FREE API's.

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.

A RAG (Retrieval-Augmented Generation) application combines large language models (LLMs) with a retrieval system to enhance the generation of responses by accessing relevant external knowledge. In this specific case, the RAG application is developed using the GROQ API, OpenAI embeddings, and is trained on the Gemma model.

Bangla News Summarization with Gemma-7b (Instruct)

Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.

Building a PDF Chatbot with Google Gemma 7B LLM using Groq API and Chainlit

A Gemma based RAG that answers python specific questions