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In this video we take a look at Amazon Bedrock on AWS. We cover the basics of GenAI and how you can get started on Amazon Bedrock using the AWS console to send text prompts at Foundation Models which are exposed via the Amazon Bedrock API.

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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
00:00 - Intro
00:23 - What Is GenAI?
01:03 - How Does GenAI Work?
02:50 - What Is AWS Bedrock?
03:47 - What The Tutorial Covers?
04:26 - Demo
05:08 - Model Access
06:24 - Text Playground
07:41 - Image Playground
09:34 - Outro

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities 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, privately customize them 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.

😎 About me
I have spent the last decade being immersed in the world of big data working as a consultant for some the globe's biggest companies.My journey into the world of data was not the most conventional. I started my career working as performance analyst in professional sport at the top level's of both rugby and football. I then transitioned into a career in data and computing. This journey culminated in the study of a Masters degree in Software

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