Text Summarization Architecture
Text summarization is a powerful application of generative AI, allowing users to condense lengthy documents or articles into concise summaries. By leveraging a language model, you can extract the most important information from a text while maintaining accuracy and coherence. Text summarization has a wide range of use cases, such as:
News article summarization: News websites and aggregators use generative AI to automatically generate concise summaries of news articles, helping users grasp the essence of the news without reading the entire piece.
Legal document summarization: Law firms and professionals can summarize lengthy legal documents, contracts, or case files, saving time by extracting only the most relevant details during the review process.
Meeting transcript summarization: Generative AI can process transcripts of meetings, presentations, or conference calls, summarizing the key points for quick review and saving participants from going through...