2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Exploring Tokenization and Architecture Optimization in Machine Learning

This chapter delves into the advancements in tokenization and architecture optimization for machine learning. It highlights the shift towards aligning model architectures with specific use cases to create more efficient and tailored solutions beyond the traditional transformer models.

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