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    The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We […]

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    • “We are truly at an exciting inflection point in the widespread adoption of ML, and we believe most customer experiences and applications will be reinvented with generative AI.” @awscloud making bing announcements in the generative AI world: https://t.co/XaHhkmBV6R #AI #LLM #NLP

  • Mashup Score: 0

    The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We […]

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    • Announcing New Tools for Building with Generative AI on AWS | AWS Machine Learning Blog https://t.co/ljjuNgBhek https://t.co/tIUCxtLi8A

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    Companies invest in research and development (R&D) to improve their cost structure, speed to market, and quality of offerings. R&D spend is highest in industries where research efforts are linked to product roadmaps, as is the case in the healthcare, pharmaceutical, and technology industries. Those typically allocate 10% to 15% of their revenues to innovation. […]

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    • Move over IT, here comes innovation https://t.co/4Gg6RJbyuh via @awscloud @rwang0 #reInvent #cio