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Catalog

 

Want to learn more about the event?

Explore the AWS re:Invent catalog to discover a wide variety of session types, activities, and more. Or visit our Content Types and Policies page to learn more about how to navigate our catalog and event. New content is added regularly, and all content is subject to change.

Registration
2 sessions
  • Breakout session
    Newly announced content
    AI/ML
    Cross-Industry Solutions
    Generative AI
    Newly announced content
    300 – Advanced
    Developer / Engineer
    IT Professional / Technical Manager
    Solution / Systems Architect
    Caesars Forum
    Amazon Bedrock
    Silent session
    Friday, Dec 06
    8:00 a.m. Friday, Dec 06
    In this session, explore Amazon Bedrock’s new built-in RAG evaluation and LLM-as-a-judge model evaluation capabilities, designed to help you improve and productize your Amazon Bedrock Knowledge Bases and foundation models, including custom models and imported models. Discover how to create and manage evaluation jobs and analyze performance with critical quality metrics such as correctness, completeness, and responsible AI metrics such as harmfulness, answer refusal, and stereotyping. This session provides an overview of how to use these features built directly in Amazon Bedrock and how to get started immediately.

    , Senior Product Manager, AWS

    , Sr. Solutions Architect, Amazon

    , Senior Manager, Product Management, AWS

    • Friday, Dec 68:30 AM - 9:30 AM PST
      Caesars Forum | Level 1 | Summit 232 | Content Hub | Turquoise Screen
    New Launch: Newly announced content
  • Breakout session
    Newly announced content
    AI/ML
    Cross-Industry Solutions
    Generative AI
    300 – Advanced
    Developer / Engineer
    IT Professional / Technical Manager
    Solution / Systems Architect
    Venetian
    Walk-up only: No reserved seating required
    Amazon Bedrock
    Friday, Dec 06
    8:00 a.m. Friday, Dec 06
    In this session, explore Amazon Bedrock’s new built-in RAG evaluation and LLM-as-a-judge model evaluation capabilities, designed to help you improve and productize your Amazon Bedrock Knowledge Bases and foundation models, including custom models and imported models. Discover how to create and manage evaluation jobs and analyze performance with critical quality metrics such as correctness, completeness, and responsible AI metrics such as harmfulness, answer refusal, and stereotyping. This session provides an overview of how to use these features built directly in Amazon Bedrock and how to get started immediately.

    , Senior Product Manager, AWS

    , Sr. Solutions Architect, Amazon

    , Senior Manager, Product Management, AWS

    Walk up only session: Walk-up only: No reserved seating required
    • Friday, Dec 68:30 AM - 9:30 AM PST
      Venetian | Level 2 | Venetian Ballroom E | Content Hub | Red Screen
    New Launch: Newly announced content