The Ultimate Guide to Fine-Tuning LLMs

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

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

1208: TM Europe win the '26 Solheim Cup 1h 49m · 13 Sep 2026 · No Laying Up - Golf Podcast

Report any issue

Source

Recorded02 Sep 2025

Publisheranchor.fm ↗

Handlerec:12512898

Show notes

Welcome to a deep dive into Large Language Model fine-tuning, covering everything from foundational concepts to cutting-edge advancements. This episode explores diverse methodologies like supervised and instruction-based fine-tuning, alongside advanced techniques such as Low-Rank Adaptation (LoRA) and Mixture of Experts (MoE). Tune in to understand the comprehensive seven-stage pipeline for fine-tuning LLMs, from data preparation to deployment, and navigate the inherent challenges and opportunities in this rapidly evolving field.

Ask this episode

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

Sign in