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amanrs

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Editing Files at 1000 tokens/s with llama-70B

cursor.com
10 ポイント·投稿者 amanrs·2 年前·4 コメント

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amanrs
·2 年前·議論
This is harder than it looks.

First "token-healing" doesn't work. Consider the case "app" where the most likely options are "ap|praisal" or "apple|sauce". You can't just sample all tokens that start with app, or you'd miss appraisal.

Second, it's easy to come up with a naive algorithm that samples from the true distribution. It's very difficult to make this algorithm efficient.
amanrs
·2 年前·議論
It edits the file based on the "plan" laid out by a smarter language model