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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.
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Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.
Bearing AI works with some of the world’s leading shipping companies, including “K” Line and IINO Lines, and is backed by Mitsui & Co. Ltd., a global business leader with deep ties to the shipping industry, and the AI Fund, a venture capital firm led by AI pioneer Andrew Ng.
Powered by AI, the system employs an HD camera and LiDAR laser technology to capture images and measurements based on points plotted by the technician. Advanced backend algorithms allow a single technician to measure an entire pool perimeter, along with any unique features, and provide precise specifications for swimming pool covers – and now ...
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