Q9Fundamentals of GenAI
A company has trained a foundation model (FM) for a specific task. The company must fine-tune the FM to carry out a different but related task. Which fine-tuning method meets this requirement?
← → navigate · a answer
Community votes
Discussion · 2
C 1
Transfer learning is the process of:
- Starting with a pre-trained model (such as a foundation model).
- Reusing the knowledge the model has already learned.
- Fine-tuning it for a different but related task.
C 1
The correct answer is C. Transfer learning.
In the context of machine learning and foundation models (FMs), transfer learning is the overarching principle and method that allows a model developed for one task to be reused as the starting point for a second, related task.