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Deploying Generative AI Models - Best Practices and Interactive Example

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Model Deployment Courses Data Science Courses Machine Learning Courses Python Courses Cloud Computing Courses Generative AI Courses Scalability Courses Serverless Computing Courses

Course Description

Overview

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Explore best practices for deploying generative AI models in a scalable manner through this informative talk from the Toronto Machine Learning Series. Gain insights into moving models to production and witness an interactive demonstration of deploying a model using UbiOps, a serverless and cloud-agnostic platform designed for AI & ML model deployment. Delve into common challenges faced when scaling generative AI models in production environments. Follow along with basic Python knowledge as Anouk Dutrée, Product Owner at UbiOps, guides you through the process, offering valuable insights for data science teams looking to efficiently run and scale their models in real-world applications.

Syllabus

Deploying Generative AI Models Best Practices and an Interactive Example


Taught by

Toronto Machine Learning Series (TMLS)

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