Why Computers Don’t Need to Match Human Intelligence
Given that then, we’ve been hectic investing in NLP companies. Prior NLP algorithms required event information and painstaking tuning for each domain (like Amazon Alexa, or a customer service chatbot for a bank), which is error-prone and pricey. Are we about to crack the natural language problem?
Today, these products are being deployed in retail, production, logistics, health care, and transport. Because then, we’ve been hectic investing in NLP business. Prior NLP algorithms required event information and painstaking tuning for each domain (like Amazon Alexa, or a consumer service chatbot for a bank), which is error-prone and expensive. Are we about to break the natural language issue? Skeptics state these algorithms are merely memorizing the entire world’s data, and are recalling subsets in a smart way, however have no understanding and are not really intelligent.