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ICLR 2024 — Best Papers & Talks (ImageGen, Vision, Transformers, State Space Models) ft. Durk Kingma, Christian Szegedy, Ilya Sutskever

Latent Space: The AI Engineer Podcast

CHAPTER

Advancements in High-Dimensional Model Training

This chapter examines the challenges and innovations involved in implementing algorithms for high-dimensional data, particularly in transitioning from vectors to matrices. It highlights the effectiveness of models like Mamba in byte-level language modeling and proposes new methodologies to enhance efficiency in handling longer sequences, while emphasizing the continued necessity of large datasets.

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