Which famous language processing product development strategy was first to implement 'transfer learning' at scale, allowing pre-trained models to be fine-tuned for specific language tasks?

Language technology has transformed how we develop products for global markets. Machine learning algorithms now power everything from translation services to speech recognition systems, revolutionizing how language products are designed and deployed. This poll tests your knowledge about a significant AI language model development that changed the product landscape in linguistics and language learning.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec embeddings
Recurrent Neural Network (RNN) sequence models
Rule-based Natural Language Processing (NLP) systems