The 6 different ways of using a language transformer / LLM
1 Train from scratch
2 Feature-based: Train new model on embeddings
3 Finetuning I: Freeze all but output layer weights
4 Finetuning II: Update all weights
5 Zero-shot learning
6 Few-shot learning
Anything missing?
1/6
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