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#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
Machine Learning Street Talk (MLST)
The Evolution of Transformers in Machine Learning Research
"Attention is all you need." Transformers are now being applied to proteins, molecules, and images. The focus is on making transformers faster, smaller, and able to handle longer sequences. Being a Burt engineer requires skills in bash scripting, pip, and staying up to date with the latest research. The speaker discusses the concept of graduate student descent as a reliable method for achieving state-of-the-art performance in machine learning. It involves initializing, finding existing solutions, making changes, and publishing. However, the pressure to publish in academia complicates the situation. Overall, transformers have become a critical tool in the field of machine learning."
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