Tokenizer
A tokenizer converts text into tokens that an AI model can process.
Category
These terms describe how text is split, how models are adapted, and how larger systems are compressed.
Terms that show how an AI model learns and adapts.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
A tokenizer converts text into tokens that an AI model can process.
Fine-tuning updates a pretrained model on a narrower dataset or task.
Distillation trains a smaller model to imitate the behavior of a larger one.
A mixture of experts uses routing to send input to specialized submodels.