Glossary
Sampling
Choosing the next token from the model's probability distribution rather than always taking the top one. Settings such as temperature, top-k and top-p shape it.
Where it is explained
See also
Terms explained in the same lessons.
Glossary
Choosing the next token from the model's probability distribution rather than always taking the top one. Settings such as temperature, top-k and top-p shape it.
Terms explained in the same lessons.