Textual Input

Textual input processing is a crucial area of research focusing on how computers understand and utilize text, encompassing diverse applications from AI model explainability to image generation and machine translation. Current research emphasizes improving model performance and efficiency by exploring optimal data formats, mitigating biases in large language models (LLMs), and developing techniques for efficient processing of various textual structures, including structured formats like JSON and XML. These advancements are significant for enhancing the reliability, accuracy, and usability of AI systems across numerous fields, from healthcare to design and beyond.