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Update README.md #86

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -32,7 +32,7 @@ tokenizer.save("toy")
# writes two files: toy.model (for loading) and toy.vocab (for viewing)
```

According to Wikipedia, running bpe on the input string: "aaabdaaabac" for 3 merges results in the string: "XdXac" where X=ZY, Y=ab, and Z=aa. The tricky thing to note is that minbpe always allocates the 256 individual bytes as tokens, and then merges bytes as needed from there. So for us a=97, b=98, c=99, d=100 (their [ASCII](https://www.asciitable.com) values). Then when (a,a) is merged to Z, Z will become 256. Likewise Y will become 257 and X 258. So we start with the 256 bytes, and do 3 merges to get to the result above, with the expected output of [258, 100, 258, 97, 99].
According to Wikipedia, running bpe on the input string: "aaabdaaabac" for 3 merges results in the string: "XdXac" where X=Yb, Y=Za, and Z=aa. The tricky thing to note is that minbpe always allocates the 256 individual bytes as tokens, and then merges bytes as needed from there. So for us a=97, b=98, c=99, d=100 (their [ASCII](https://www.asciitable.com) values). Then when (a,a) is merged to Z, Z will become 256. Likewise Y will become 257 and X 258. So we start with the 256 bytes, and do 3 merges to get to the result above, with the expected output of [258, 100, 258, 97, 99].

## inference: GPT-4 comparison

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