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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

Dzone - DevOps

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

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How to Build a Serverless Application Using Laravel and Bref

Modus Create

Serverless architecture has grown more popular since Amazon Web Services (AWS) introduced Lambda. Serverless allows the developer to focus only on the code itself. The New LAMP Stack: Serverless on AWS. In this tutorial, I’ll be covering how to use Bref to build a serverless Laravel application. Step 1: AWS User.

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ServerlessDays Nashville & the serverless mindset

Stackery

Last week, I joined an awesome lineup of speakers and serverless users in Tennessee for the inaugural ServerlessDays Nashville conference. Whether you help architect serverless applications at work or you’re just getting started in the community, chances are you’ve caught wind of a ServerlessDays event. Enter serverless.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

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Tackle Serverless Observability Challenges with the New Stackery-Epsagon Integration

Stackery

Stackery is a tool to deploy complete serverless applications via Amazon Web Services (AWS). Epsagon monitors and tracks your serverless components to increase observability. Observability is a Problem for Serverless. Here’s how they can not only work together but improve each other. What do you do? Try it Yourself.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. It then employs a language model to generate a response by considering both the retrieved documents and the original query.