You fine-tuned a model and asked it about three examples from your dataset. All three answers are perfect, word for word as in the labels.
The first reaction is joy. The second, if you listen closely, is suspicion.
What exactly did this check show: that the model learned the task — or that it memorized the answers?
Getting it wrong is fine: it is part of learning. Guessing first helps the answer stick later, and the answer itself comes after the explanation.
Copy your personal prompt and paste it into your agent's learn mode — it picks up your context and takes you forward.
Honestly: with AI it feels like you can do more than you can without it. After practice, check yourself without AI. (Bastani et al., PNAS 2025)
Explains the material using the course method.