Google AI Proposes TransformerFAM: A Novel Transformer Architecture that Leverages a Feedback Loop to Enable the Neural Network to Attend to Its Latent Representations

Transformers have revolutionized deep learning, yet their quadratic attention complexity limits their ability to process infinitely long inputs. Despite their effectiveness, they suffer from drawbacks such as forgetting information beyond the attention window and needing help with long-context processing. Attempts to address this include sliding window attention and sparse or linear approximations, but they often […]

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