MIT 6.S191: Recurrent Neural Networks, Transformers
Explore Recurrent Neural Networks and Transformers in MIT’s 6.S191 course. Learn about sequence modeling, attention mechanisms, and practical applications.
Read MoreExplore Recurrent Neural Networks and Transformers in MIT’s 6.S191 course. Learn about sequence modeling, attention mechanisms, and practical applications.
Read MoreDiscover the Mamba neural network architecture, which surpasses Transformers in language modeling efficiency and performance.
Read MoreDiscover the phenomenon of ‘grokking’ in LLMs, where extended training leads to superior generalization and complex reasoning capabilities. Learn about the implications for AI training.
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