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10min chapter
695: NLP with Transformers, feat. Hugging Face's Lewis Tunstall
Super Data Science: ML & AI Podcast with Jon Krohn
Understanding the Inner Workings of Transformers in NLP
This chapter explores the significance of comprehending the inner mechanisms of transformers in NLP to aid in problem-solving and expanding capabilities. The discussion emphasizes the value of grasping fundamental mathematical concepts to enhance creativity and tackle complex tasks, illustrated through examples like blending attention heads for multitask problems. Strategies for addressing challenges in NLP, such as using generative models for tasks with limited labeled data and leveraging parameter-efficient fine-tuning techniques, are also shared.
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