Anyscale Workspaces: A Scalable Interactive ML Development Environment with Zero Setup
Offered By: Anyscale via YouTube
Course Description
Overview
Explore a 28-minute session demonstrating how Anyscale workspaces and platform can boost efficiency in building LLM applications. Gain insights into zero-setup development, debugging, scaling, and production deployment and serving. Learn about Anyscale workspaces and witness their features in action through the development of the Anyscale Doctor. Access the accompanying slide deck for additional information. Discover Anyscale, the AI Application Platform for developing, running, and scaling AI, and learn about Ray, the popular open-source framework for scaling and productionizing AI workloads, including Generative AI, LLMs, and computer vision.
Syllabus
Anyscale Workspaces: A Scalable Interactive ML Development Environment with Zero Setup
Taught by
Anyscale
Related Courses
Optimizing LLM Inference with AWS Trainium, Ray, vLLM, and AnyscaleAnyscale via YouTube Scalable and Cost-Efficient AI Workloads with AWS and Anyscale
Anyscale via YouTube End-to-End LLM Workflows with Anyscale
Anyscale via YouTube Developing and Serving RAG-Based LLM Applications in Production
Anyscale via YouTube Deploying Many Models Efficiently with Ray Serve
Anyscale via YouTube