This post is co-written with Kostia Kofman and Jenny Tokar from Booking.com. As a global leader in the online travel …
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How Booking.com modernized its ML experimentation framework with Amazon SageMaker
Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock
Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different …
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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock
Generative AI agents are a versatile and powerful tool for large enterprises. They can enhance operational efficiency, customer service, and …
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Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3
In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document …
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Accenture creates a regulatory document authoring solution using AWS generative AI services
This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture. Bringing innovative new pharmaceuticals drugs to …
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Deploy large language models for a healthtech use case on Amazon SageMaker
In 2021, the pharmaceutical industry generated $550 billion in US revenue. Pharmaceutical companies sell a variety of different, often novel, …
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Integrate QnABot on AWS with ServiceNow
Do your employees wait for hours on the telephone to open an IT ticket? Do they wait for an agent …
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How HSR.health is limiting risks of disease spillover from animals to humans using Amazon SageMaker geospatial capabilities
This is a guest post co-authored by Ajay K Gupta, Jean Felipe Teotonio and Paul A Churchyard from HSR.health. HSR.health …
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Announcing support for Llama 2 and Mistral models and streaming responses in Amazon SageMaker Canvas
Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without …
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Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, …
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