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Advancements in Flash Attention Techniques and Efficient Expert Retrieval
The chapter delves into the evolution of Flash Attention techniques, with the latest iteration optimized for NVIDIA Hopper GPUs to enhance the performance of large language models. It also explores the concept of leveraging a 'Mixture of a Million Experts' to improve neural network efficiency and lifelong learning by introducing a parameter-efficient expert retrieval layer. Additionally, the chapter covers the development of 'Lamini Memory Tuning' for improved model accuracy and a lightning-round paper on creating novel datasets for language models with adaptive search techniques.