I'm trying to understand the concept of a mask in the context of Large Language Models (LLMs). Could someone explain what it is and how it's used in these models?
6
answers
Maria
Mon Apr 07 2025
The purpose of input masking is to challenge the model and enhance its predictive capabilities.
KatanaGlory
Mon Apr 07 2025
By concealing parts of the input, the model is forced to concentrate on predicting only the visible segments.
KimchiQueenCharmingKiss
Mon Apr 07 2025
This method is akin to covering specific words in a sentence and prompting the model to fill in the blanks.
HanRiverVisionary
Mon Apr 07 2025
Input masking is a sophisticated approach utilized in machine learning.
CryptoAce
Mon Apr 07 2025
This technique involves deliberately obscuring segments of the input data during the training phase.