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Favorite The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping and interacting with their business
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Shared by AWS Machine Learning November 6, 2024
Favorite The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks. However, training and
Read More Shared by AWS Machine Learning November 6, 2024
Favorite This post is co-written with Steven Craig from Hearst. To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. However, Cloud Center of Excellence (CCoE) teams often can be perceived as bottlenecks to organizational transformation due to limited resources and
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Favorite After more than two years of collaboration, information gathering, global workshopping, testing, and an in-depth co-design process, we have an Open Source AI Definition. The purpose of version 1.0 is to establish a workable standard for developers, researchers, and educators to consider how they may design evaluations for AI systems’
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Shared by voicesofopensource November 6, 2024
Favorite This past month, the Open Source Security Foundation (OpenSSF) hosted SOSS Fusion in Atlanta, an event that brought together a diverse community of leaders and innovators from across the digital security spectrum. The conference, held on October 22-23, explored themes central to today’s technological landscape: AI security, diversity in
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Favorite This post is co-written with David Gildea and Tom Nijs from Druva. Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility
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Favorite Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. It’s a fully managed service that helps provide accurate answers to users’ questions while adhering to the security and access restrictions of the content. You can tailor Amazon Q Business to your specific business needs by
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Favorite Traditionally, clinical trials not only place a significant burden on patients and participants due to the costs associated with transportation, lodging, meals, and dependent care, but also have an environmental impact. With the advancement of available technologies, decentralized clinical trials have become a widely popular topic of discussion and
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Favorite As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. Organizations need to prioritize their generative AI spending based on business impact
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Favorite Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI, allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to
Read More Shared by AWS Machine Learning November 1, 2024