If a model's max | |
input size is \(k\), we then approximate the likelihood of a token \(x_t\) by conditioning only on the | |
\(k-1\) tokens that precede it rather than the entire context. |
If a model's max | |
input size is \(k\), we then approximate the likelihood of a token \(x_t\) by conditioning only on the | |
\(k-1\) tokens that precede it rather than the entire context. |