Best language models for summarization?

Domain adaptation techniques are crucial when your data differs significantly from the pre-training data.

The key is knowing when to fine-tune vs when to use the pre-trained model as-is.

Transfer learning has been a game-changer. You can achieve great results with relatively small datasets now.

Pre-trained models like BERT and GPT have made NLP much more accessible to smaller teams.