Evaluating the Impact of Dataset Quality on Fine-Tuning Results
Fine-tuning has become a critical step in adapting pre-trained models like large language models (LLMs) for specific tasks. While these models already possess vast knowledge from general datasets, fine-tuning helps tailor them to particular domains or use cases. However, the success of LLM fine-tuning largely depends on the quality of the dataset used in the […]