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WEDNESDAY, 5 AUGUST 20261,011 channels on the wireFree edition

AI & Tools desk — breakout report

Is Fine-Tuning Still Needed? LLMs, RAG, & LoRA

Everyone's scrambling to figure out if fine-tuning is even worth it anymore—this video breaks down exactly when you actually need it versus RAG and LoRA.

Key facts

  • •4.1x IBM Technology's own 90-day median — this channel normally draws about 5.1K views at the same age.
  • •20.7K views so far, published 15 days ago.
  • •Category: Education · Language: en · Quality: HD · Captions: yes
  • •"Breakout" is measured against this exact channel's trailing 90-day median at matching video age — not a generic niche average.

Updated 2026-07-22 16:55 UTC

Video thumbnail: Is Fine-Tuning Still Needed? LLMs, RAG, & LoRA
Watch on YouTube ↗ · IBM Technology · 1.8M subscribers

View trajectory

Views this upload has gathered since it published, last measured about 29h in — from our own tracking.

0h 29h after publish 20.7K views

Published Jul 21, 2026 · 15 days ago. How breakouts are measured →

From the creator

Learn more about Fine-Tuning here → https://ibm.biz/~c5OKNxoyO Is fine-tuning still needed for modern AI workflows? Martin Keen explains how LLM fine tuning compares to RAG, LoRA, and generative AI techniques. Learn when to customize machine learning models and how to design efficient AI systems. AI news moves fast.…

Category: Education · Language: en · Quality: HD · Captions: yes

Topics: Knowledge · Technology

Tags: IBM, IBM Cloud

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