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103. Building GetAI Features with Bedrock

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Kandungan disediakan oleh AWS Bites. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh AWS Bites atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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:

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

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145 episod

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103. Building GetAI Features with Bedrock

AWS Bites

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Manage episode 382941511 series 2980070
Kandungan disediakan oleh AWS Bites. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh AWS Bites atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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:

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

  continue reading

145 episod

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