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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. In our system, it’s the powerhouse behind generating the captions.

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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

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. The following diagram illustrates the solution architecture. You then display the top similar results.

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MWC 2024 Replay: Huawei unlocks resilient, ‘non-stop’ banking with four-pronged solutions strategy

CIO

Speaking at Mobile World Congress 2024 in Barcelona, Jason Cao, Huawei’s CEO of Digital Finance BU, acknowledged that digital financial services are “booming” and that the rise of open architecture as well as emerging technologies like generative AI will have an impact on key fields in the industry such as financial engagement and credit loans.

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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO

And that is where many CIOs find themselves today: tackling cloud cost issues more skillfully just as disruptive forces such as generative AI are set to ensure those costs will exponentially escalate, CIOs predict. There’s just not enough experience there to know what the ultimate costs for gen AI are,” says ADP’s Nagrath.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Amazon Bedrock offers the generative AI foundation model Amazon Titan Image Generator G1 , which can automatically change the background of an image using a technique called outpainting. The following diagram provides a simplified view of the solution architecture and highlights the key elements.

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

AWS Machine Learning - AI

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. The following diagram shows the solution architecture. Alternatively, open-source technologies like Langchain can be used to orchestrate the end-to-end flow.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. The OpenSearch Serverless collection. RAG is a popular technique that combines the use of private data with large language models (LLMs).