A mixture of Gen AI cookbook recipes for Gen AI applications.

Examples for Anyscale Endpoint

Numbers every LLM developer should know

Code and documentation to train Stanford's Alpaca models, and generate the data.

Scalable/Distributed Computer Vision with Ray

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Welcome to Emmy's repository for basic templates used on Streamlit. Here, you will find source code for some fun demos of the capabilities of Streamlit to deploy machine learning web applications.