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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. A multimodal embeddings model is designed to learn joint representations of different modalities like text, images, and audio.

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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning - AI

Looking back at AWS re:Invent 2023 , Jensen Huang, founder and CEO of NVIDIA, chatted with AWS CEO Adam Selipsky on stage, discussing how NVIDIA and AWS are working together to enable millions of developers to access powerful technologies needed to rapidly innovate with generative AI.

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

Infrastructure and platform services might be hosted in providers’ infrastructures or customers’ data centers, but are owned by the service provider. In the world of hyperscale cloud computing, data is king and the provider that lands and keeps a customers’ most critical business data has an advantage in selling its other services.”

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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. RAG is a popular technique that combines the use of private data with large language models (LLMs).

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). pdf" } }, "score": 0.6389407 }, { "content": { "text": ".amortization

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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. To support larger images, the solution uses an S3 bucket where the InvokeModel API reads data from and writes the result to.

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