AI-generated summaries are based on Natural Language Processing (NLP) models trained on large text datasets. Summaries are created via two methods:
- Extractive Summarization — utilizes the most prominent sentences to summarize content
- Abstractive Summarization — condenses the material into new concise summary text
More developed versions use neural networks (specifically transformer-based models) to identify structural patterns, important concepts, and generate meaningful summaries.