Token Masking Strategies for LLMs

Read on to learn about the different masking techniques used in language models, their advantages, and how they work at a low level using Pytorch.

Bert from Sesame Street is figuring out how to train BERT from zero. Source: DALL-E 3.

Token Masking is a widely used strategy for training language models in its classification variant and generation models. The BERT language model introduced it and has been used in many variants (RoBERTa, ALBERT, DeBERTa…).

However, …

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