You probably do NOT need to fine-tune language models

The article on Tidepool discusses an important topic concerning the fine-tuning of language models. The author argues that, in many cases, users do not need to adapt large language models (LLMs) to their specific needs. Instead, the article highlights the benefits of using the models in their unmodified form. By utilizing pre-trained models, time and resources that would normally be spent on fine-tuning can be saved. The article explores the differences between fine-tuning and other methods that can be equally effective. The author encourages readers to think about their specific goals when using LLMs and whether customizing them is truly necessary.