#707: AWS News: DeepSeek R1 Models on BedRock, Improve Data Discoverability with S3 Metadata
Feb 10, 2025
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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.
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.
Enhanced S3 Metadata Management
The new S3 metadata capabilities simplify data discovery by automatically extracting and managing rich metadata for objects stored in S3 buckets. This improves analytics efficiency by optimizing metadata tables for tabular data, thus streamlining data preparation processes. Organizations with large datasets, such as those working with multimodal data or AI pipelines, can especially benefit from these enhancements, which offer better governance and performance. Customers like Roche, SmugMug, and PayPal have already started leveraging this feature to enhance their data querying capabilities.
Updates Across AWS Services
Recent updates across AWS services include enhancements in areas like analytics, artificial intelligence, and customer engagement. For instance, Amazon Redshift has improved query monitoring and security configurations, while Amazon Lex has expanded its capabilities for assisted slot resolution. Furthermore, AWS Amplify now allows data operations directly within Lambda functions, which streamlines development for front-end applications. These updates demonstrate AWS's commitment to optimizing user experiences through advancements in performance, security, and ease of integration across their platform.
Join our hosts for a great discussion of the new and interesting on AWS!
Chapters:
00:09 Intro
00:32 Deep Seek
05:26 S3 Meta Data
08:52 AWS Market Place
09:32 Analytics updates
10:28 Application integration
11:49 AI Updates
13:42 Compute
15:09 Customer Engagement
16:12 Database Updates
17:53 Developer Tools
19:31 Front end web and mobile
20:36 Management and governance
22:22 Migration and modernization updates
23:01 Networking and content delivery
23:12 Wrap up
Shownotes: https://d29iemol7wxagg.cloudfront.net/707ExtendedShownotes.html
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