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

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

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

Favorite AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, and more than half plan to use them in

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Shared by AWS Machine Learning February 11, 2025

Favorite This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.  The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. Making credit decisions

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Shared by AWS Machine Learning February 11, 2025

Favorite GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in

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Shared by AWS Machine Learning February 11, 2025

Favorite In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems.

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Shared by AWS Machine Learning February 11, 2025

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

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

Favorite Building upon a previous Machine Learning Blog post to create personalized avatars by fine-tuning and hosting the Stable Diffusion 2.1 model at scale using Amazon SageMaker, this post takes the journey a step further. As technology continues to evolve, newer models are emerging, offering higher quality, increased flexibility, and

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Shared by AWS Machine Learning February 7, 2025