Transforming Biological Data
The conversation delves into the challenges of adapting transformer models for biological data, such as proteins and genomes. Max emphasizes the importance of understanding the underlying biology to inform data representation and tokenization strategies, while Sergei highlights the complexities of genomic structures that traditional linear approaches may overlook. Both express excitement about the potential for innovation in this evolving field.In this clip
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Related Questions
What is the significance of transformers in neural network architectures, as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Introduction to GPT-2?
What is the significance of transformers in neural network architectures, as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Introduction to GPT-2?