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Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock

AWS Machine Learning - AI

Given the increasing need for efficient and cost-effective AI solutions, we present a serverless read-through caching blueprint that uses repeated data patterns. Conversely, a cache collision happens when multiple prompts are mapped to the same cache location due to similarities in their semantic features.

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Serverless and Edge Runtime Part 2

Apiumhub

This is the second post in a two-part series exploring the world of Serverless and Edge Runtime. In the previous post, we got familiar with serverless; the main focus of this post will be the Edge Runtime, where it can be useful, and what its caveats are. Edge, the Location: the concept of running servers closer to our users.

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DeltaStream secures cash to build real-time streaming databases

TechCrunch

DeltaStream provides a serverless streaming database to manage, secure and process data streams. “Serverlessrefers to the way DeltaStream abstracts away infrastructure, allowing developers to interact with databases without having to think about servers.

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Serverless and Edge Runtime

Apiumhub

This is the introductory post in a two-part series, exploring the world of Serverless and Edge Runtime. The main focus of this post will be Serverless, while the second one will focus on an alternative, newer approach in the form of Edge Computing. Scalability Of course, going serverless is not only for small projects.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Review and prepare the dataset. Store embeddings into the Amazon OpenSearch Serverless as the search engine.

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How Skyflow creates technical content in days using Amazon Bedrock

AWS Machine Learning - AI

The accuracy of Skyflow’s technical content is paramount to earning and keeping customer trust. Although new features were released every other week, documentation for the features took an average of 3 weeks to complete, including drafting, review, and publication. The following diagram illustrates their content creation workflow.

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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

For customers to take advantage of this, meet the demands of modern technology, and maintain a competitive edge in the market, the need to modernize IT infrastructure and applications is paramount. This, of course, takes into consideration the organization’s strategy, business and technical goals, security, and compliance requirements.

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