Machine Learning

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[D] What is the future for ML researchers and startups? (alien.top)

submitted 1 year ago by francMesina@alien.top to c/machinelearning@academy.garden

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With the advent of LLMs, multimodality and “general purpose” AIs which seat on unimaginable amounts money, computing power and data. I’m graduating and want to start a PHD, but feel quite disheartened given the huge results obtained simply by “brute-forcing” and by the ever-growing hype in machine learning that could result in a bubble of data scientists, ML researchers and so on.

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[–] omkar73@alien.top 1 points 1 year ago

I come from a chemistry standpoint. Sometimes the data set is so small it doesn’t matter how big of a model you throw at it. It’s not gonna work. Instead you need to get creative. Employing techniques such as active learning or delta ML. I think that’s still very much in infancy as a field. I’m still an undergrad tho so I might be wrong.