Favorite Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a

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Shared by AWS Machine Learning February 19, 2025

Favorite Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed

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Shared by AWS Machine Learning February 17, 2025

Favorite In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use them to add functionality such as zero-shot classification and semantic search. We then use Amazon Bedrock and language embeddings to add these features to a really simple syndication (RSS)

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Shared by AWS Machine Learning February 14, 2025

Favorite AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of

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Shared by AWS Machine Learning February 14, 2025

Favorite The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how

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Shared by AWS Machine Learning February 12, 2025

Favorite Today, we are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI. Overview of the Falcon 3 family of models The Falcon 3 family, developed

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Shared by AWS Machine Learning February 12, 2025

Favorite This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in

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Shared by AWS Machine Learning February 12, 2025

Favorite Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. However, the journey from a proof of concept to a production-ready application comes with challenges and opportunities. Moving from proof of concept to production is about creating scalable, reliable,

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Shared by AWS Machine Learning February 12, 2025

Favorite The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation

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Shared by AWS Machine Learning February 12, 2025

Favorite This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Trained on broad, generic datasets spanning a wide range of topics and domains,

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Shared by AWS Machine Learning February 12, 2025