Exam 1z0-1122-23 Topic 1 Question 13 Discussion

Actual exam question for Oracle's 1z0-1122-23 exam
Question #: 13
Topic #: 1
What is the purpose of fine-tuning Large Language Models?

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Fine-tuning is the process of updating the model parameters on a new task and dataset, using a pre-trained large language model as the starting point. Fine-tuning allows the model to adapt to the specific context and domain of the new task, and improve its performance and accuracy. Fine-tuning can be used to customize the model's capabilities for specific tasks such as text classification, named entity recognition, and machine translation82. Fine-tuning is also known as transfer learning or task-based learning. Reference: A Complete Guide to Fine Tuning Large Language Models, Finetuning Large Language Models - DeepLearning.AI

by Paul at Nov 17, 2023, 10:31 PM

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