LoRA: Low-Rank Adaptation of Large Language Models

episode

Build Wiz AI Show not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

Your partner wants profit. You want freedom. Now what? 22 min · 16 Sep 2026 · The Optometry Success Podcast

Finance and Budget Committee - Sep 15, 2026 1h 43m · 15 Sep 2026 · Prince William County Finance and Budget Committee

The Art of True Happiness | Dr. Arthur Brooks 2h 49m · 14 Sep 2026 · Huberman Lab

The Chris Wolfe Podcast: The Power of Quality Supplements 48 min · 14 Sep 2026 · EyeCode Media

NPR News: 09-13-2026 6PM EDT 4 min · 13 Sep 2026 · NPR News Now

Guenther Steiner's 2026 Madrid GP Recap! | Vankah Hours S3E18 1h 11m · 13 Sep 2026 · The Red Flags Podcast

Report any issue

Source

Recorded04 Sep 2025

Publisheranchor.fm ↗

Handlerec:12512897

Show notes

In this episode, we dive into LoRA, a groundbreaking technique that makes fine-tuning massive language models like GPT-3 more accessible and efficient. Discover how this method drastically reduces the number of trainable parameters and GPU memory needed, all without adding any extra delay during inference. We'll explore how LoRA freezes the original model and injects small, trainable matrices, achieving results on-par with or even better than full fine-tuning.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in