X post:Andrew Ng
Andrew Ng on Core Skills for Building and Deploying AI Applications
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X postRahulOpinion
As AI engineering often focuses on base models and prompting, understanding data-driven model learning is highlighted as a decisive professional differentiator.
The post acts as a brief teaser for a linked comprehensive guide. Rahul frames fine-tuning not merely as an operational task for custom weights, but as a foundational insight into how models absorb data, though specific technical steps remain within the linked article.
Rahul
@sairahul1 · 18 September 2026
Fine-tuning is about to become one of the most valuable AI engineering skills. Not because everyone needs a custom model. But because the people who understand how models learn from data will build things others can’t. Full guide: t.co/oIfvJsZgea
2.5k likes43 replies10.1k bookmarks2.3m views
View on XSummary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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