Skip to content
Unembedding Matrix as a Feature Lens: Unlocking Better Text Embeddings episode artwork

Jun 9, 2026 24 min

Unembedding Matrix as a Feature Lens: Unlocking Better Text Embeddings

from Embodied AI 101 Hosted by Shaoqing Tan

Improves embedding quality without extra training by using the unembedding matrix as a feature lens for text embeddings.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Unembedding Matrix as a Feature Lens: Unlocking Better Text Embeddings

0:00 24:39

No transcript yet.

Requests help us decide what to transcribe next.

Share this episode

Similar podcasts

CISO Perspectives (public) N2K Networks This season on CISO Perspectives, host Kim Jones explores some of the challenges of leading through uncertainty. We explore the complexity of the changing nature of regulation and working with the federal government, the evolution of privacy and fraud, and how emerging technologies like AI and quantum computing are changing cyber. When you don’t know what questions to ask, you’re afraid to ask, or don’t know who to ask, CISO Perspectives provides the foundation for learning in this brave new world.

Frequently asked questions

How long is this episode of Embodied AI 101?

This episode is 24 minutes long.

When was this Embodied AI 101 episode published?

This episode was published on June 9, 2026.

Can I download this Embodied AI 101 episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.