from the end of 2022 Artificial intelligence has become more relevant in the fields of knowledge and content production.given their ability to create and support any task such as academic, design or even customer service.
Similar instruments have been produced after the release of ChatGPT, which consists of a trained language model developed by OpenAI. Bard, You and Baidu from Google.
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In fact, some AIs have come a long way in understanding natural language and are capable of conducting informal conversations with a high degree of resemblance to those performed by humans.
(You may be interested in: How to use ChatGPT to learn English for free).
Chatbot AI systems often use continuous learning techniques, allowing them to improve as they interact with more users and can adapt to new language patterns.
According to technology company IBM, speech-based AI consists of key components that allow you to: process, understand and generate responses naturally in a speech.
Thanks to language processing (PLN) mixed with ‘Machine Learning’, a sub-field of machine learning algorithms and data, they can recognize the information requested from them according to the data they are trained in and ability to identify patterns.
(Keep reading: ChatGPT becomes a parish priest, performing mass in front of hundreds of parishioners.)
Amparo Alonso Betanzos confirms that this means that “chatbot” prototypes “must be able to fully understand what is being asked, including adjectives and variations added to sentences, in order to respond consistently.” Computer Science and Artificial Intelligence at the University of Coruña (Spain) for the ‘BBC’.
From your estimation, AIs manage to get an exercise in interpreting the questioned. Ability to have an informal conversation, similar to virtual assistants like Siri or Alexa.
But there are cases when these systems fall apart. do not yet respond as awareness of emotionsIt’s a common factor in this type of dialogue, given its automation, according to Alonso Betanzos.
“Although we’re seeing tools like conversations that seem more cross-cut because they’re language-based, What these machines actually do is predict the next word in a text.”
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NATHALIA GOMEZ PARRA
DIGITAL SCOPE WRITING
TIME
Source: Exame
