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AWS Lambda Benchmarking

Xebia

In this blog post, we examine the relative costs of different language runtimes on AWS Lambda. Many languages can be used with AWS Lambda today, so we focus on four interesting ones. Rust just came to AWS Lambda in November 2023 , so probably a lot of folks are wondering whether to try it out.

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Analyze customer reviews using Amazon Bedrock

AWS Machine Learning - AI

Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement.

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Using design patterns in AWS Lambda

Xebia

In this blog post I will go over some reasons why you should be using design patterns in your Lambda functions Getting started To get started with AWS Lambda is quite easy, and this is also the reason why some crucial steps are skipped. Or use a compiled language like golang for your Lambda functions.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

Access to car manuals and technical documentation helps the agent provide additional context for curated guidance, enhancing the quality of customer interactions. The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information.

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

AWS Machine Learning - AI

Conversely, a cache collision happens when multiple prompts are mapped to the same cache location due to similarities in their semantic features. In this post, we demonstrate how to use various AWS technologies to establish a serverless semantic cache system. For a complete list of text generation models, refer to Amazon Bedrock.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Organizations possess extensive repositories of digital documents and data that may remain underutilized due to their unstructured and dispersed nature. An email handler AWS Lambda function is invoked by WorkMail upon the receipt of an email, and acts as the intermediary that receives requests and passes it to the appropriate agent.