Central to human intelligence are the abilities to reason, plan, and be creative.
technology that beat humans in a natural language processing task called reading comprehension. This news was somewhat obscure, but I considered this a major breakthrough because I remembered what had happened four years earlier.
So in 2019, when I saw the same eclipse of human capabilities in NLP, I anticipated that NLP algorithms would give rise to incredibly accurate speech recognition and machine translation, that will one day power a “universal translator” as depicted in. NLP will also enable brand-new applications, such as a precise question-answering search engine and targeted content synthesis . These could be used in financial, health care, marketing, and consumer applications.
Are we about to crack the natural language problem? Skeptics say these algorithms are merely memorizing the whole world’s data, and are recalling subsets in a clever way, but have no understanding and are not truly intelligent.
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