4 ms·
A fine-tuned classifier purpose fit for a specific task can easily outperform a SOTA LLM on more modest hardware and often makes a lot more sense.
by kamranjon 3mo ago
A fine-tuned classifier purpose fit for a specific task can easily outperform a SOTA LLM on more modest hardware and often makes a lot more sense.
- orlp 3mo agoIf your data is sufficiently noisy or your relationship sufficiently simple a linear regression will outperform a SOTA LLM.
- scotty79 3mo agoCalculator is a great analogy for that kind of specialized models. Way better than humans (and other things) at a specific task. Can't replace humans with it. LLMs are not calculators.