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