Meaning
The process of adapting a pre-trained LLM to improve its performance on specialized tasks.
Definition
Fine-tuning is a process where a pre-trained LLM is further trained on a smaller, task-specific dataset to tailor its performance to a particular application.
This step refines the model’s capabilities, enabling it to excel in specialized tasks such as legal text analysis, customer service automation, or medical report summarization.
Example
An LLM pre-trained on general text can be fine-tuned using a medical dataset to become proficient in summarizing complex medical documents.
