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Lambda Calculus Through JavaScript, Part 4

Xebia

This is the fourth post in the Lambda Calculus Through JavaScript series. If you’re just joining us, make sure to go back and start with Lambda calculus through JavaScript, part 1. As usual, we’ll discover that lambda calculus gives us the ingredients to introduce this concept without extending the language, just by translation.

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Lambda Calculus Through JavaScript, Part 2

Xebia

The previous post in this series introduced the constraints we had to obey to use JavaScript as untyped lambda calculus , and then we relaxed some of those constraints via currying (for functions of more than one argument) and translation (to turn const local variables into a combination of functions).

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5 Simple Ways to Improve Security with Lambda at Edge

Modus Create

Lambda@Edge is Amazon Web Services’s (AWS’s) Lambda service run on the Amazon CloudFront Global Edge Network. You can utilize this service to run code in a serverless fashion at a location that is close to the end user. There are numerous measures you can take to improve security with Lambda@Edge. Directions.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

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Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents

AWS Machine Learning - AI

For example, in the fashion retail industry, an assistant powered by agents and multimodal models can provide customers with a personalized and immersive experience. In this post, we implement a fashion assistant agent using Amazon Bedrock Agents and the Amazon Titan family models.

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Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

AWS Machine Learning - AI

To solve this problem, this post shows you how to predict domain-specific product attributes from product images by fine-tuning a VLM on a fashion dataset using Amazon SageMaker , and then using Amazon Bedrock to generate product descriptions using the predicted attributes as input.

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Zuma takes in fresh capital to convert your next apartment tenant lead into a contract

TechCrunch

Joining Andreessen Horowitz in the investment were Y Combinator, Range Ventures, Liquid 2, Day One Ventures, Soma Capital and a group of individual investors, including Apartment List co-founder Chris Erikson, former Y Combinator COO Qasar Younis and Lambda School founder Austen Allred. The latest funding round gives Zuma a total of $7.2