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Decoder Models in NLP: Limitations and Advancements
Exploring the challenges and capabilities of decoder models in predicting the next word in a sequence, highlighting their limitations for out-of-domain tasks. The chapter also delves into the advancements in NLP with Transformer models, pre-trained models like chat GPT, feature extraction, and the benefits of utilizing deep learning techniques over manual taxonomies.