Downstream Task: Text Classification

Downstream tasks leveraging LLMs are essential for developing chatbot functionalities. These tasks, such as text classification, enrich the chatbots with the ability to understand the user intent. By integrating LLMs into chatbot frameworks, we can enhance their interaction capabilities, making them intuitive, responsive, and accessible to a broader audience.

Text classification refers to the process of classifying text into predefined classes or categories. This task in natural language processing utilizes the capabilities of LLMs to understand, interpret, and classify data. By analyzing the content, context, and semantics of the text, LLMs can classify text into one or more categories based on the learned patterns from the training data. Some applications of text classification include sentiment ...