Different standards for tokenization

Inference Process with a Fine-Tuned Model

Example of Tokenization into Words and Punctuation

Example of Word and Punctuation Tokenization

Methods of Tokenization

A language model is given the sentence: 'The researcher is studying neuroplasticity.' It processes the sentence using two different methods, resulting in two different sequences of tokens.

Method A: ['The', 'researcher', 'is', 'studying', 'neuroplasticity', '.'] Method B: ['The', 'researcher', 'is', 'study', 'ing', 'neuro', 'plasticity', '.']

Assuming the model has never encountered the word 'neuroplasticity' during its training but has seen words like 'neuroscience' and 'plasticity' separately, which method is more advantageous for helping the model understand the new word, and why?

Tokenization Strategies

Evaluating Tokenization for a Specialized Chatbot