5min chapter

Machine Learning Street Talk (MLST) cover image

#76 - LUKAS BIEWALD (Weights and Biases CEO)

Machine Learning Street Talk (MLST)

CHAPTER

Generalization vs. Specialization

Keen: I see this all the time. People expect to have a general abstraction or blue print that just works in every single situation, and it's so bloody difficult to make m de p systems work at scale. Keen: The biggest sticking point i find is that teams prefer specialization. They hate generalization, because they don't think that they're a cookie cutter. Keen: We actually have a a platform that's really sort of like a lower level tear that's sort of like basic building blocks. And we use those building blocks to build things that are more solution-orientated.

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