remove leftover mid references (#491)
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@@ -20,7 +20,7 @@ LLM because it has to learn how every token (a little semantic chunk/atom)
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maps to the sequence of individual characters that make it up. Larger models
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learn this eventually on their own, but if we want this capability to exist
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in smaller models, we have to actively encourage it by over-representing it
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in the training data. Midtraining is a good place to do this.
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in the training data. SFT is a good place to do this.
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To preview a few example conversations, run:
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python -m tasks.spellingbee
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