Building a virtual meteorologist using Amazon Bedrock Agents

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

Meta SAM 2.1 is now available in Amazon SageMaker JumpStart

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

From concept to reality: Navigating the Journey of RAG from proof of concept to production

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

LLM-as-a-judge on Amazon Bedrock Model Evaluation

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

Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock

Favorite There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary.

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Shared by AWS Machine Learning February 12, 2025

Revolutionizing business processes with Amazon Bedrock and Appian’s generative AI skills

Favorite This blog post is co-written with Louis Prensky and Philip Kang from Appian.  The digital transformation wave has compelled enterprises to seek innovative solutions to streamline operations, enhance efficiency, and maintain a competitive edge. Recognizing the growing complexity of business processes and the increasing demand for automation, the integration

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Shared by AWS Machine Learning February 11, 2025

Automate bulk image editing with Crop.photo and Amazon Rekognition

Favorite Evolphin Software, Inc. is a leading provider of digital and media asset management solutions based in Silicon Valley, California. Crop.photo from Evolphin Software is a cloud-based service that offers powerful bulk processing tools for automating image cropping, content resizing, background removal, and listing image analysis. Crop.photo is tailored for

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Shared by AWS Machine Learning February 11, 2025