Natural-language-processing

Published on
January 20, 2024
Character vs. Word Tokenization in NLP: Unveiling the Trade-Offs in Model Size, Parameters, and Compute
Natural-Language-Processing Tokenization Machine-Learning Model-Optimization
Explore the pivotal choice between character and word tokenization in NLP. Uncover the trade-offs in model size, parameters, and compute efficiency. Decipher the key considerations for optimal natural language processing. Dive into our insightful analysis now.

Character vs. Word Tokenization in NLP: Unveiling the Trade-Offs in Model Size, Parameters, and Compute