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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

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Join Us This Summer for WebinarStock!

Callminer

This virtual conference will cover a ranging of topics, expert speakers, partners and customers about better customer and agent experiences through speech analytics. Creating Customer Service Super Agents with Data, Tech and Coaching featuring Forrester. Register for 10am BST Session. Register for 3pm EST / Noon PST Session .

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

NLP SQL enables business users to analyze data and get answers by typing or speaking questions in natural language, such as the following: “Show total sales for each product last month” “Which products generated more revenue?” In entered the Big Data space in 2013 and continues to explore that area. Nitin Eusebius is a Sr.

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Designing generative AI workloads for resilience

AWS Machine Learning

Because the interface between agents and tools is less formally defined than an API contract, you should monitor these traces not only for performance but also to capture new error scenarios. He entered the big data space in 2013 and continues to explore that area.

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Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

AWS Machine Learning

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Solution overview.

APIs 82
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Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

AWS Machine Learning

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs 87
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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. She holds 30+ patents and has co-authored 100+ journal/conference papers. He holds multiple AWS Certifications and has extensive experience working with high-tier AWS partners.