At a glance
Overview
Register and watch Amazon Web Services (AWS) and Weights & Biases (W&B) perform a demo and hands-on workshop. You'll learn how developers of any experience level can leverage the W&B MLOps platform to optimize machine learning (ML) workflows with Amazon SageMaker.
View Weights & Biases generative AI Marketplace listing.
Date & time
Overview
Overview
Who should watch
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Developers
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Engineers
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Architects
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Machine learning engineers
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MLOps engineers
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Data scientists
When
Recording is from October 17, 2023
Speakers
James Yi
Senior Partner Solutions Architect in AI/ML, AWS
Thomas Capelle
Machine Learning Engineer, Weights & Biases
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Details
Description
With artificial intelligence (AI) and large language models gaining popularity, ML developers need secure, scalable enterprise-ready tools that optimize developer productivity, streamline cross-functional collaboration, and enable model explainability. The W&B platform allows ML teams to build better models faster, track experimentation, improve collaboration across their organization, and implement automation.
Watch this Dev Day with AWS and W&B to get hands-on experience managing ML workloads using the W&B platform. The lab will showcase how to fine-tune generative AI models, compare model candidates, and how to manage the end-to-end model lifecycle leveraging the combination of W&B and AWS services.
Highlights
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Fine-tune the LLaMa models on AWS
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Log run metrics throughout model training
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Collect artifacts for dataset and model versioning to reproduce and manage models
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Assess model performance, share insights, and experiment collaboratively
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Understand and engineer prompt inputs for large language models