103. Building GetAI Features with Bedrock

AWS Bites

Nội dung được cung cấp bởi AWS Bites. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được AWS Bites hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

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You Can Visit All Seven Continents. But Should You? 26:46

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26:46

For many travelers, Antarctica is a bucket-list destination, a once-in-a-lifetime opportunity to touch all seven continents. In 2023, a record-breaking 100,000 tourists made the trip. But the journey begs a fundamental question: What do we risk by traveling to a place that is supposed to be uninhabited by humans? And as the climate warms, should we really be going to Antarctica in the first place? SHOW NOTES: Kara Weller: The Impossible Dilemma of a Polar Guide Marilyn Raphael: A twenty-first century structural change in Antarctica’s sea ice system Karl Watson: First Time in Antarctica Jeb Brooks : 7 Days in Antarctica (Journey to the South Pole) Metallica - Freeze 'Em All: Live in Antarctica Learn about your ad choices: dovetail.prx.org/ad-choices…

cách đây khoảng một năm trước 20:54

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In this episode, we discuss how we automated generating YouTube descriptions, chapters and tags for our podcast using Amazon's new GenAI tool: Bedrock. We provide an overview of Bedrock's features and how we built an integration to summarize podcast transcripts and extract relevant metadata using the Anthropic Claude model. We share the prompt engineering required to instruct the AI, and details on our serverless architecture using Step Functions, Lambda, and EventBridge. We also discussed Bedrock pricing models and how we built a real-time cost-monitoring dashboard. Overall, this automation saves us substantial manual effort while keeping costs low. We hope this episode inspires others to explore building their AI workflows with Bedrock. 💰 SPONSORS 💰 AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at ⁠⁠fourtheorem.com⁠⁠!

In this episode, we mentioned the following resources:

The GitHub repository with the code for the AWS Bites website: https://github.com/awsbites/aws-bites-site
Episoder: the open source project we created to handle this Bedrock-based automation: https://github.com/fourTheorem/episoder
Podwhisperer: out other open source automation that creates accurate transcripts for our podcast: https://github.com/fourTheorem/podwhisperer/
Amazon Bedrock Workshop: https://catalog.us-east-1.prod.workshops.aws/workshops/a4bdb007-5600-4368-81c5-ff5b4154f518/en-US
Using generative AI on AWS for diverse content types (workshop): https://catalog.workshops.aws/genai-on-aws/en-US/01-introduction
Deploying a Multi-Model and Multi-RAG Powered Chatbot Using AWS CDK on AWS: https://github.com/aws-samples/aws-genai-llm-chatbot/tree/main

You can listen to AWS Bites wherever you get your podcasts:

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AWS Bites