Uploaded December 2025 | Updated September 2026, 10 hours ago

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Day 6/42: What Are Parameters?

Yesterday, we explored latent space.

Today, we look at what shapes it.

Parameters are the billions of internal values inside an LLM.

Think knobs. Not facts.

At first, they’re random.

Training slowly nudges them until language patterns emerge.

Grammar. Style. Associations.

All encoded in numbers, not rules.

More parameters doesn’t mean smarter by default.

It means *more capacity to learn patterns*.

Missed yesterday? That’s key context.

Tomorrow, we see how those knobs get tuned in the first place: pre-training.

I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀

#Parameters #LLM #AIExplained #short