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How important is it to specialize in a specific AI domain (generative AI, computer vision, NLP) versus staying broad and how does that calculus change at different career stages?

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  1. Vik Chaudhary
    Vik Chaudhary

    The Biological Computing Company VP Products and Strategic Partnerships • 3mo

    Generative AI is now an extremely broad field - so you need to learn about its applications as much as the core generative AI technology Computer Vision is relevant to fields like Autonomous Driving, and CV is in itself quite broad, but there's a lot changing, e.g. Diffusion Transformer models vs other models. Physical AI - is an entirely new field, and very early, but it's applications are in Robotics and Manufacturing These are just a few examples - but to answer your question, I'd have to kno ...Read More

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