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

Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls

Favorite Data science teams often face challenges when transitioning models from the development environment to production. These include difficulties integrating data science team’s models into the IT team’s production environment, the need to retrofit data science code to meet enterprise security and governance standards, gaining access to production grade data,

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Shared by AWS Machine Learning February 8, 2025

How Aetion is using generative AI and Amazon Bedrock to translate scientific intent to results

Favorite This post is co-written with Javier Beltrán, Ornela Xhelili, and Prasidh Chhabri from Aetion.  For decision-makers in healthcare, it is critical to gain a comprehensive understanding of patient journeys and health outcomes over time. Scientists, epidemiologists, and biostatisticians implement a vast range of queries to capture complex, clinically relevant

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Shared by AWS Machine Learning February 7, 2025