Understanding Transformers
Kirill delves into the intricacies of attention in natural language processing, outlining the five stages of transformer data processing. He highlights the efficiency of encoder-only architectures for understanding tasks and the generative strengths of decoder-only models. The discussion also covers how transformers are scaled for training and inference, unlocking the remarkable capabilities of large language models.In this clip
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747: Technical Intro to Transformers and LLMs — with Kirill Eremenko
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