Advances in fine-tuning reduce total volume of AI training
In the early days of generative AI, much attention was focused on the process of training new models from zero. As the technology matures, organizations are increasingly looking for ways to adapt existing large language models (LLMs) to their specific requirements. Customizing existing models avoids the need to source training data, employ machine learning experts […]
