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Getting started with Amazon SageMaker Studio | Amazon Web Services
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Getting started with Amazon SageMaker Studio | Amazon Web Services

Getting Started with SageMaker Studio

Overview of Amazon SageMaker Studio and its features for machine learning.

Introduction to SageMaker Studio

  • Emily introduces the session on getting started with Amazon SageMaker Studio, a fully managed IDE designed for machine learning.
  • SageMaker Studio separates the user interface from applications, allowing users to browse foundation models and explore various tools.
  • Users can access multiple environments such as Jupyter Lab, SageMaker Studio Classic, VS Code, and RStudio within the platform.

Exploring JumpStart in SageMaker

  • Emily navigates to the JumpStart feature in SageMaker Studio, showcasing available foundation models from leading providers.
  • She selects the Mixrtal model and highlights options for training, deploying, and evaluating this specific model.

Testing Inference with Mixrtal Model

  • Emily demonstrates testing an inference request using the Mixrtal 8x7B model that she has already deployed.
  • She describes sending a JSON payload asking for a recipe for mayonnaise to her deployed endpoint on a multi-GPU machine (G5.48xl).

Evaluating Inference Results

  • The results of the inference request are received promptly; Emily shares that she receives a simple recipe for homemade mayonnaise as a response.
Video description

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) and a wide choice of purpose-built tools to perform foundation model development steps. You can access publicly available FMs, easily evaluate and select the best FM for your use case, customize and deploy FMs, and automate workflows —all within a single, unified web-based interface. Learn more: https://go.aws/3Vl5Qhk Subscribe: More AWS videos: https://go.aws/3m5yEMW More AWS events videos: https://go.aws/3ZHq4BK Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb ABOUT AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster. #AWS #AmazonWebServices #CloudComputing #GenerativeAI #Foundationmodel