Uploaded January 2026 | Updated September 2026, 3 hours ago

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Day 15/42: Reasoning & Chain-of-Thought

Yesterday, we learned how examples help.

But some questions still break models.

That’s a reasoning problem.

Chain-of-thought works by forcing intermediate steps:

“Let’s think step by step.”

Instead of jumping to an answer, the model lays out its logic.

That alone can dramatically improve accuracy.

Newer models do this internally.

Older ones need a nudge.

Missed Day 14? Watch it first.

Tomorrow, we look at what happens when you press enter: inference.

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

#ChainOfThought #Reasoning #LLM #short