Pre-training

Definition

Pre-training establishes foundational knowledge within neural networks, enabling them to adapt knowledge gained towards solving particular problems encountered later downstream, ensuring optimal performance.

When Pre-training is used

Language models

Which positions need this?

Data Scientists

Problem

Insufficient training data available leads to poor performance during deployment phases.

Example of how Pre-training is used in AI

An NLP model undergoes pre-training across diverse textual datasets, gaining contextual understanding of language mechanics before transitioning to task-specific datasets for enhanced capabilities.