21/12/2025
fine-tuning in machine learning for large language models (LLMs).
Fine-tuning does involve starting with a pre-trained model and training it further on a specialized dataset to adapt it to specific tasks
This flow is standard in LLM development. Dataset A is used for general pre-training, and Dataset B for task-specific fine-tuning.
