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> Would you say that ML isn't a successful discipline? ML is basically balancing between "formal language" (papers/algorithms) and "non-deterministic outcomes"
by mkleczek 1y ago
> Would you say that ML isn't a successful discipline? ML is basically balancing between "formal language" (papers/algorithms) and "non-deterministic outcomes" (weights/inference) yet it seems useful in a wide range of applications
Usefulness of LLMs has yet to be proven. So far there is more marketing in it than actual, real world results.
Especially comparing to civil and mechanical engineering, maths, electrical engineering and plethora of disciplines and methods that bring real world results.
- diggan 1y ago> Usefulness of LLMs has yet to be proven. What about ML (Machine Learning) as a whole? I kind of wrote ML instead of LLMs just to avoid this specific tangent. Are you feelings about that field the same?
- mkleczek 1y ago> What about ML (Machine Learning) as a whole? I kind of wrote ML instead of LLMs just to avoid this specific tangent. Are you feelings about that field the same? No - I only expressed my thoughts about using natural language for computing.