D-GAI-F-01 Exam Dumps | What is the primary purpose of fine-tuning in the lifecycle of a Large Language Model (LLM)?

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Question 4/26

What is the primary purpose of fine-tuning in the lifecycle of a Large Language Model (LLM)?

A. To randomize all the statistical weights of the neural network

B. To customize the model for a specific task by feeding it task-specific content

C. To feed the model a large volume of data from a wide variety of subjects

D. To put text into a prompt to interact with the cloud-based Al system

Correct Answer: B

* 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.

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