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2. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   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.

3. Wordtune - Wikipedia

   en.wikipedia.org/wiki/Wordtune

   Users can use the tool to paraphrase text being composed on services like Gmail, Google Docs, Facebook, Twitter, and LinkedIn. [ 10 ] On November 14, 2021, AI21 released Wordtune Read — an AI-powered Chrome extension and standalone app designed to process large amounts of written text from websites, documents, or YouTube videos, and summarize ...

4. Apple Intelligence - Wikipedia

   en.wikipedia.org/wiki/Apple_Intelligence

   Apple Intelligence is an artificial intelligence system developed by Apple Inc. [2] Relying on a combination of on-device and server processing, it was announced on June 10, 2024, at WWDC 2024, as a built-in feature of Apple's iOS 18, iPadOS 18, and macOS Sequoia, which were announced alongside Apple Intelligence.

5. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]

6. Socratic (Google) - Wikipedia

   en.wikipedia.org/wiki/Socratic_(Google)

   The app uses AI technology to help students with their homework by providing educational resources like videos, definitions, Q&A, links and more. [ 2 ] Socratic was first launched as a web product in 2013 by Chris Pedregal and Shreyans Bhansali, in New York City , United States.

7. GPT-2 - Wikipedia

   en.wikipedia.org/wiki/GPT-2

   It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, [2] [7] which enabled it to translate texts, answer questions about a topic from a text, summarize passages from a larger text, [7] and generate text output on a level sometimes ...