Favorite Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information
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Shared by AWS Machine Learning March 17, 2025
Favorite This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework
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Shared by AWS Machine Learning February 21, 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 The real-world data collected and derived from patient journeys offers a wealth of insights into patient characteristics and outcomes and the effectiveness and safety of medical innovations. Researchers ask questions about patient populations in the form of structured queries; however, without the right choice of structured query and deep
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Shared by AWS Machine Learning January 31, 2025
Favorite Many enterprise customers across various industries are looking to adopt Generative AI to drive innovation, user productivity, and enhance customer experience. Generative AI–powered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in
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Shared by AWS Machine Learning December 19, 2024
Favorite Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters
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Shared by AWS Machine Learning November 28, 2024
Favorite Have you ever stumbled upon a breathtaking travel photo and instantly wondered where it was and how to get there? With 1.3 billion international arrivals in 2023, international travel is poised to exceed pre-pandemic levels and break tourism records in the coming years. Each one of these millions of
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Shared by AWS Machine Learning November 14, 2024
Favorite Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. Formalizing and documenting this invaluable resource can help organizations maintain institutional memory, drive innovation, enhance
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Shared by AWS Machine Learning October 30, 2024
Favorite Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement. Analyzing these reviews to extract actionable insights enables data-driven
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Shared by AWS Machine Learning August 22, 2024
Favorite Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Generative AI can help raise the bar on efficiency and effectiveness across the full scope of healthcare delivery. The healthcare industry generates and collects a significant
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Shared by AWS Machine Learning August 13, 2024
Shared by AWS Machine Learning March 17, 2025
