Abstractive refers to a process or method that involves summarizing or generating new content based on existing information. Unlike extractive methods, which pull direct quotes or phrases from the source, abstractive techniques create a more condensed and coherent version of the original material. This approach is often used in natural language processing and artificial intelligence to produce summaries or paraphrases. In the context of machine learning, abstractive summarization is a key area of research. It aims to enable systems to understand and interpret text, allowing them to generate meaningful summaries that capture the essence of the content while using different wording. This can enhance applications like chatbots and content generation tools.