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AWS Podcast

#707: AWS News: DeepSeek R1 Models on BedRock, Improve Data Discoverability with S3 Metadata

Feb 10, 2025
Discover the potential of DeepSeek, a cutting-edge language model on Amazon Bedrock, designed for flexibility and customization. Explore how S3 metadata enhances data management, aiding AI model training and improving performance. The discussion also covers essential updates across AWS services, including advancements in analytics, application integration, and database technologies. Tune in for insights on customer engagement, compute enhancements, and the latest in migration and governance tools.
23:39

Podcast summary created with Snipd AI

Quick takeaways

  • DeepSeek's new R1 models provide cost-effective large language models with significant parameter options for diverse business applications.
  • S3 metadata enhancements streamline data discovery and improve analytics efficiency, especially beneficial for organizations handling large multimodal datasets.

Deep dives

DeepSeek Large Language Models on AWS

DeepSeek introduces new large language models (LLMs) that are now available for deployment through platforms like Amazon Bedrock and SageMaker. These models include the main DeepSeek R1, featuring 671 billion parameters, alongside smaller distilled versions that range from 1.5 to 70 billion parameters. The advantage of these models lies in their cost-effectiveness, reported to be 90 to 95% cheaper than comparable alternatives, making them appealing for various applications. The integration with AWS services allows users to easily compare outputs and implement security features, providing flexibility in choosing the right model for specific business needs.

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