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Exploring Neural Network Architectures: LSTMs vs. Transformers
This chapter explores the limitations of LSTMs and transformers, concentrating on the challenges of forgetting and context fragmentation. The discussion emphasizes the potential of scaling LSTMs to match transformer performance, prompting a reevaluation of the differences between these neural network architectures.