Q: 3
You are reviewing the results of a prompt-tuning experiment where the goal was to improve an LLM's
ability to summarize technical documentation. Upon inspecting the experiment results, you notice that
the model has a high recall but relatively low precision. What does this likely indicate about the model’s
performance, and how should you approach further tuning?
Options
Discussion
D, official docs and IBM sample labs talk about tuning precision in cases like this. Seen similar advice on practice exams, too.
Had something like this in a mock, pick is D.
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