17min chapter

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

Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723

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

CHAPTER

The Evolution of Reasoning in Machine Learning

This chapter examines the evolution of reasoning methodologies in machine learning, highlighting the differences between verbalized and algorithmic reasoning. It discusses the potential benefits of incorporating recurrence and adaptive exits to enhance model performance and efficiency. The chapter also explores the specialization of tokens during training and testing, emphasizing the importance of dynamic computation based on complexity.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode