5 дней 1:22 Amazon Bedrock Customer series: Secure, private, responsible generative AI | Amazon Web Services
Amazon Bedrock provides a clear roadmap to navigate the end-to-end AI life cycle with ethical, safe and responsible decision making.
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4 дня 0:55 Titan Image Generator with Watermark Detection for Amazon Bedrock | Amazon Web Services
All Amazon Titan foundation models are designed with ethical AI principles in mind, incorporating measures to detect and remove harmful content, reject inappropriate inputs, and filter model outputs.
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2 дня 25:23 Bring your own datasets | Amazon Web Services
You can customize your own prompt datasets and scoring algorithms specific for your generative AI application. Learn how to build and prepare your own datasets for FM evaluation on Amazon SageMaker.
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2 дня 24:14 Introduction to foundation model evaluation on Amazon SageMaker Clarify | Amazon Web Services
Amazon SageMaker Clarify now supports foundation model (FM) evaluation to help you quickly evaluate, compare, and select the best FM for your use case based on a variety of criteria across different
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2 дня 22:22 Human-driven foundation model evaluation | Amazon Web Services
Some evaluation criteria are nuanced or subjective and require human judgement to assess.
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2 дня 22:49 FM Eval Library Deep Dive | Amazon Web Services
Amazon SageMaker Clarify automatic FM evaluation is available as an open-source library in GitHub to allow you to run it anywhere.
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