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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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Dynamic Routing with AWS Lambda@Edge

LaunchDarkly

Not only did TrueCar need to move their domain DNS entries, they also needed to revamp their entire architecture, software, and operational practices. To complicate issues, the legacy codebase and architecture had to remain in place while TrueCar built out a new platform for the transition. Lambda@Edge NodeJS goodness.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. The following diagram illustrates the solution architecture. Reusability Good software development practices apply to the development of generative AI solutions too.

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Fundamentals of Data Engineering

Xebia

This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer. “Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

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Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

AWS Machine Learning - AI

The following architecture diagram illustrates how you can use the Amazon Titan Multimodal Embeddings model with documents in an Amazon Simple Storage Service (Amazon S3) bucket for image gallery creation. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

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Software Engineers: Confidence Matters Just as Much as Ability

Stackery

Software engineering is a skilled task; those who obtain the experience and credentials necessary to become engineers know this, as do their employers. Anyone who has written software used by a decent number of people knows how daunting this task is. Confidence matters just as much as ability.

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Serverless is easier than you think

The Agile Monkey

As a result, we only have to think about our code, architecture and which services to use. Yes, the but is that it requires a change of mindset , not just at the engineering level but company wide. Yes, the but is that it requires a change of mindset , not just at the engineering level but company wide.