Exams / AIF-C01 / Generative AI concepts / Question 5
AIF-C01 practice question: Generative AI concepts (5 of 5)
Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A research lab is planning the lifecycle of a new foundation model. Put these lifecycle stages in order, first stage first.
Put these 5 steps in order.
- AA. Fine-tune the model on smaller, task-specific datasets
- BB. Collect feedback from use to guide the next improvements
- CC. Pre-train the model on a very large, broad dataset
- DD. Deploy the model so that applications can use it
- EE. Evaluate the model against benchmarks and requirements
Show the answer and explanation
Correct order: C, A, E, D, B
- C. Pre-train the model on a very large, broad dataset First of these stages: pre-training gives the model its general knowledge, and everything else builds on it.
- A. Fine-tune the model on smaller, task-specific datasets Second: fine-tuning adapts a model that has already been pre-trained.
- E. Evaluate the model against benchmarks and requirements Third: the tuned model is tested before anyone decides to deploy it.
- D. Deploy the model so that applications can use it Fourth: only an evaluated model is released for use.
- B. Collect feedback from use to guide the next improvements Fifth: feedback from real use comes after deployment and feeds the next iteration.
Explanation
The exam guide describes the FM lifecycle as data selection, model selection, pre-training, fine-tuning, evaluation, deployment and feedback. Pre-training on broad data creates general capability, fine-tuning specialises it, evaluation checks it, deployment makes it available, and feedback drives the next round.
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