Dell EMC Exam D-GAI-F-01 Topic 2 Question 21 Discussion

Definition of Fine-Tuning: Fine-tuning is a process in which a pretrained model is further trained on a smaller, task-specific dataset. This helps the model adapt to particular tasks or domains, improving its performance in those areas.

Purpose: The primary purpose is to refine the model's parameters so that it performs optimally on the specific content it will encounter in real-world applications. This makes the model more accurate and efficient for the given task.

Example: For instance, a general language model can be fine-tuned on legal documents to create a specialized model for legal text analysis, improving its ability to understand and generate text in that specific context.