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5min chapter
695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Transformers in NLP: Encoder-Decoder Structure and Model Evolution
This chapter explores the encoder-decoder structure and the development of models like GPT and BERT in the realm of natural language processing, emphasizing how transformers encode and decode information in an abstract space. It emphasizes the differences between encoder-only models such as BERT, specializing in language understanding, and decoder-only models like GPT, proficient in language generation.
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