Generative Pre-training
Generative Pre-training is the initial phase of training a Large Language Model on massive, unlabeled text datasets where the model learns token relationships by predicting the next word in sequence.
Frequently Asked Questions
Why is pre-training generative?▼
Because it uses a next-token generation loss objective rather than classifying inputs, teaching the model vocabulary and patterns.
What is the cost of generative pre-training?▼
It is highly resource-heavy, requiring clusters of GPUs running for weeks or months on terabytes of raw text.
Quick Facts
- CategoryModel Training
- Key ApplicationFoundation model preparation, unsupervised text pre-training, and base model building.
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