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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
I think users should be strongly encouraged to write edit summaries, and to write more detailed edit summaries at that; but if integrating an AI summary is what it takes, I wouldn't be opposed to that in the same way I'm strongly opposed to using LLMs to write article content or talk page comments.
Google is using AI to create a somewhat unique approach to reading articles online.As outlined in a Tuesday blog post, Google is applying its generative AI efforts towards something called "SGE ...
Even though the AI is conservative at removing information and details, the text's length usually decrease by quite a bit as it removes redundant phrases. The AI is also good at reordering phrases to make the text more coherent, but at the cost of grammar errors and obscuring meaning.
In addition to summarizing threads and channels, Slack says you can use its AI bot to search for specific content. Rocca offered an example of a new hire trying to figure out what a frequently ...
According to a report from BuzzFeed News, Facebook is testing an AI-powered tool called TL;DR (Too Long; Didn’t Read) to summarize news pieces, so you don’t even have to click through to read ...
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