DataHour: Building Generative AI Applications using Amazon Bedrock

DataHour: Building Generative AI Applications using Amazon Bedrock

26 Feb 202413:02pm - 26 Feb 202414:02pm

DataHour: Building Generative AI Applications using Amazon Bedrock

About the Event

Generative AI has taken the world by storm and rightfully so, because it truly has the potential to change the way we work and even we live. In the realm of Generative AI, if attention is all you need, the choice is all you want. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon, along with a broad set of capabilities that you need to build generative AI applications, simplifying development while maintaining privacy and security.

With Amazon Bedrock’s comprehensive capabilities, you can easily experiment with a variety of top FMs, customize them privately with your data using techniques such as fine tuning and retrieval-augmented generation (RAG), and create managed agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns and managing inventory—all without writing any code. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Ayan Ray

Ayan Ray

Senior Solutions Architect at Amazon Web Services

Ayan Ray is a Senior Partner Solutions Architect specialized in Generative AI at Amazon Web Services (AWS). In his present role, Ayan helps Enterprises to build AI and Analytics solutions using AWS Technologies. He is also a regular speaker at the major Technology Conferences in the United States including AWS Invent. Prior to joining AWS, Ayan spent 5 years building an AI startup as Director of Engineering.

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