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Reading scientific papers is a tough job. Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and ...
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.
AI Chatbots in their own words: ChatGPT: OpenAI - GPT-3.5 (GPT-4 available) "I'm an AI language model created by OpenAI called GPT-3.5, designed to understand and generate human-like text based on ...
It seems ChatGPT uses Wikipedia's policy pages in addition to articles for its dataset. Based on the results, AI models seem to be a very powerful brainstorming tool, and via prompt engineering, these AI do allow an impressive amount of refinement to the plan. AI can also be a great tool as a pointer to potential sources and can remind editors ...
The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.
It includes a suite of new AI-powered writing tools that can summarize emails and texts and instantly generate replies on command. ... The company is on track to generate a record $128.6 billion ...
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