AI at Meta on Health

We used two different techniques for quantizing these models. Quantization-Aware Training with LoRA adaptorsprioritizing accuracy. SpinQuant, a post-training quantization method which prioritizes portability. Both versions are available for download as part of this release.

180 likes6 repliesPosted Oct 24, 2024

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Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Opens with a short, self-contained line that is easy to take in at a glance.
Ends on a short line that is easy to quote and repeat.
The opening line stands alone, so it reads completely before the post is expanded.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Short sentences keep the pace up, so the reader never has to re-read a line.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

Health AI

Post by AI at Meta on X