Building Serverless LLM Applications with Amazon Bedrock
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About this Webinar
Join us for an insightful session where you’ll learn to deploy applications powered by large language models (LLMs) using serverless technology.
Explore how serverless architecture simplifies application deployment, eliminating the need to manage infrastructure while ensuring scalability and efficiency.
Key Highlights:
- Learn to process audio files by combining automatic speech recognition (ASR) with LLMs.
- Build an automated system that detects customer inquiries, transcribes audio, and generates concise summaries using Amazon Bedrock.
- Discover how to enable logging to enhance security and maintain compliance.
What You'll Gain:
- Insights into customizing LLM responses with Amazon Bedrock.
- A step-by-step approach to transcribing audio recordings and summarizing them using LLMs.
- Skills to deploy an event-driven workflow for audio summarization with AWS Lambda.
- A hands-on understanding of using models like Amazon Titan and more through Amazon Bedrock.
Who Should Attend?
This webinar is ideal for developers familiar with Python and AWS who are eager to explore quick and efficient deployment of LLM applications using Amazon Bedrock.
Why Join Us?
Walk away with the expertise to build and deploy your serverless LLM apps in days, harnessing the power of Amazon Bedrock and AWS services.
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Building Serverless LLM Applications with Amazon Bedrock
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