Minor input attributes in HTML that significantly improve UX

The article on Garrett Dimon's site discusses the technique of fine-tuning text inputs in AI models. The author explains how the performance of language models can be improved by appropriately adjusting input data. Tips include pre-processing data so that the model can better understand context and semantics of the text. Dimo also discusses the importance of the quality of training data and its impact on the final results. The use of fine-tuning techniques can significantly enhance the effectiveness of models in various applications, such as sentiment analysis or content generation.