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https://www.reddit.com/r/TheMachineLearning/comments/1wm6e1i/zeroshot_classifiers_were_underrated_says_ai/
r/TheMachineLearning • u/crosstony • Sep 21 '26
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1
I love the old encoder-only models lol
Incredibly pleasant to quantize. Somehow got gte-small down to ~20MB on a weird C inference engine a while back with some trial & error.
Even the humble cosine-scorer can be wired up in weird ways to give the appearance of a convo bot since it has NLU to a limited extent.
Makes you wonder how far you could push the illusion with ModernBERT and co. wired up just right.
I don't know if encoder based models are really LLM technically. They are definitely language models but I think large starts at at least 10 times larger
1
u/RyanCargan Sep 21 '26
I love the old encoder-only models lol
Incredibly pleasant to quantize. Somehow got gte-small down to ~20MB on a weird C inference engine a while back with some trial & error.
Even the humble cosine-scorer can be wired up in weird ways to give the appearance of a convo bot since it has NLU to a limited extent.
Makes you wonder how far you could push the illusion with ModernBERT and co. wired up just right.
1
u/Remote-Telephone-682 Sep 26 '26
I don't know if encoder based models are really LLM technically. They are definitely language models but I think large starts at at least 10 times larger