Description: Prompt classification refers to the task of categorizing the requests or instructions provided to large language models (LLMs) based on their content or intent. This practice is fundamental for optimizing the interaction between users and models, allowing the generated responses to be more accurate and relevant. Prompts can be classified into various categories, such as questions, instructions, requests for information, or creative tasks, among others. Each type of prompt may require a different approach from the model, influencing the quality and usefulness of the response. Prompt classification helps developers better understand how models interpret different types of requests and enables users to formulate questions more effectively, thereby maximizing the potential of LLMs. In a context where artificial intelligence is increasingly integrated into various applications, prompt classification becomes an essential tool for improving communication and efficiency in the use of these advanced technologies.
