[2302.13971] LLaMA: Open and Efficient Foundation Language Models
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2026-07-21 09:17:07
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本页的公开 Whisper
划选高亮2026-07-21 12:38:07
原文高亮摘录
“possible to train state-of-the-art models using p”
Whisper 随想笔记
wait, 13B beating GPT-3? that's... suspiciously good
划选高亮2026-07-21 12:29:07
原文高亮摘录
“possible to train state-of-the-art models using p”
Whisper 随想笔记
finally, open models that don't need those secret datasets
划选高亮2026-07-21 09:35:07
原文高亮摘录
“a collection of foundation language models ranging from 7B to 65B parameters”
Whisper 随想笔记
Trillions of tokens on public data? I'm skeptical but curious.
划选高亮2026-07-21 09:26:07
原文高亮摘录
“a collection of foundation language models ranging from 7B to 65B parameters”
Whisper 随想笔记
Finally open models that beat GPT-3, that's wild.
划选高亮2026-07-21 09:17:07
原文高亮摘录
“a collection of foundation language models ranging from 7B to 65B parameters”
Whisper 随想笔记
7B to 65B is a nice range, but 65B still needs a lot of GPUs.
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