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GPT-3 token embeddings have dimensions in the range of 4,096 to 12,288 (for larger models).

Linguists estimate that basic conversational fluency requires knowing 2,000 to 3,000 words, while an educated speaker may know 20,000 to 40,000 words.

It makes so much sense.

GPT-3 token embeddings have dimensions in the range of 4,096 to 12,288 (for larger models).

Linguists estimate that basic conversational fluency requires knowing 2,000 to 3,000 words, while an educated speaker may know 20,000 to 40,000 words.

It makes so much sense.


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Data Science by ODS.ai 🦜




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