Why do LLMs get sometimes simple tasks wrong?
Ever wondered why LLMs sometimes give surprisingly wrong answers to simple tasks—even when the question seems straightforward?
It’s often not a lack of intelligence… it’s a lack of context.
In this carousel, I break down how tokenization works, why long words can trip up the model, and—most importantly—how adding just one sentence (“explain your thinking step-by-step”) turns unreliable guesses into accurate results.
A small prompting change, a huge difference in performance.
Swipe through to see the experiment and the results 👉
What do you think?
#AI #PromptEngineering #LLM #Productivity #ArtificialIntelligence”
