Transformer Architectures
Dennis shares fascinating insights into the evolution of transformer architectures, emphasizing the capabilities of GPT-3 and BERT for natural language processing. He discusses how his book can guide users in fine-tuning GPT-2 for tasks like question answering and text summarization. Additionally, he highlights the importance of tools like SHAP and LIME for understanding AI outputs, regardless of model complexity.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
SDS 513: Transformers for Natural Language Processing — with Denis Rothman
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