The Summary tool leverages advanced large language models(LLMs) to help users generate abstractive or extractive summaries from longer texts, particularly for news articles. Powered by LLM such as Chat-GPT-4, this tool can quickly transform complex articles or documents into well-structured summaries, suitable for professionals and content creators looking to save time on reading and synthesizing information.

Feature Highlights

1. Language Model Integration: The tool supports multiple language models, allowing users to select the most appropriate model for their summarization needs.
2. Customizable Output Format: Users can control summary format through instructions, such as bullet points or paragraphs, ensuring flexibility in presentation.
3. Rephrasing Option: Includes an option to rephrase summaries, allowing for abstractive or extractive summarization.
4. Abbreviation Usage: Choose whether to include or exclude abbreviations in the summary, helping match the desired tone.
5. Word Count Control: Users can specify the length of the summary (e.g., 80 or 120 words), tailoring the output to specific requirements.
6. Cost Estimation: Provides an estimated cost for the API usage based on the summary’s word count.
7. Article Fetching from MediaCorp Sites: Users can directly fetch articles by inputting URLs from MediaCorp’s platforms, simplifying the summarization workflow.

Possible Use Cases

– Journalism: Reporters or editors can quickly summarize long articles for inclusion in newsletters or briefs.

– Marketing Teams: Condensing news stories or industry updates for internal reports or client communications.

– Research & Academic Settings: Researchers can generate brief overviews of articles or publications for presentations or citation purposes.

– Business Intelligence: Companies can summarize daily news to keep teams updated without sifting through lengthy content.

This tool is especially useful for those needing quick insights or summaries from articles, reports, or news updates without the need for in-depth reading of the full text.