Hi there, you mentioned some things about ChetGPT. Let's
chat about it!
ChatGPT refers to a chatbot built using OpenAI's product GPT, which can mimic natural language and engage in conversations with users.
Firstly, let's take a look at ChetGPT's language abilities.
Indeed, with its AI technology, ChetGPT can answer various questions fluently
and express itself in an organized and natural manner. This is because it is
built on the GPT-3.5 technology, which allows machines to learn natural
language and acquire knowledge and information from massive amounts of data.
Moreover, ChetGPT's appearance represents the continuous
development and advancement of chatbot technology. Although there have been
chatbots before, ChetGPT brings a brand new experience. Its intelligence and
conversational skills are better than ever before, making conversations more
lively and interesting, as well as practical.
Of course, ChetGPT's emergence has also caused excitement
in the capital circle. After all, the development prospects of this field are
very broad, and ChetGPT's technology also has great market potential. However,
for giants, they will also face certain challenges. They need to innovate and
progress constantly to adapt to this rapidly changing market environment.
In summary, ChetGPT's emergence undoubtedly marks a
revolution in chatbot technology. Its appearance not only brings us a better
experience but also demonstrates the huge potential of artificial intelligence
technology. Let's look forward to the future and see what surprises and changes
this industry will bring us!
You mentioned some history and technical details about
chatbots, let's chat about them!
The development of chatbots can be traced back to the 1960s
when a chatbot named LIS was invented in the MIT laboratory. The developers
cleverly set it up as a psychotherapist, who usually speaks less and listens
more. Therefore, LIS could ask people about their thoughts and listen to their
answers. Although LIS was based on very simple codes, through pre-set keyword
matching patterns and conversation flows, it could make people mistakenly
believe that it was really listening and communicating.
Over time, chatbot technology has continued to improve. By
1995, a chatbot called Eliza had appeared, which was even smarter and more
natural than LIS, allowing for more natural conversation interaction. However,
whether it is LIS or Eliza, their core principles are based on pattern
matching. When the chatbot hears a certain keyword, it will call a pre-set
answer template to continue the conversation, which is the so-called pattern
Nowadays, chatbots have become a standard feature of many
shopping websites and businesses such as banks. They still rely on
pattern-matching technology, but through continuous learning and optimization,
the intelligence level of chatbots is gradually improving. Although they cannot
be considered very intelligent, they can still help us deal with some simple
questions and tasks, such as return processes or ATM maps.
In summary, with the continuous development of technology,
chatbot technology and applications are also constantly improving. We can look
forward to the future and see what surprises and changes this field will bring
Although it has reduced a lot of repetitive answers from
human labor, from an intelligence perspective, this kind of rule-limited robot,
even if the rules are written more complex and preset more, cannot exhaust all
the answers and cannot create new ones. Therefore, if you really want to
achieve true intelligence through the Turing test, relying solely on pattern
matching is far from enough. This is where machine learning comes in, which is
a very important part of language learning in artificial intelligence. Its
basic concept is to let machines learn on their own, rather than giving them
artificial rules. Through a large number of examples, machines can learn and
find rules by themselves. This method is more in line with our cognitive logic
of learning. In 2001, a robot named SmartChild used advanced machine learning
models at the time to make chatting with it more natural. In the background of
popular chat software at that time, SmartChild swept across all major platforms
and attracted over 30 million users worldwide for chatting and communication.
It received more than one billion messages per day and communicated endlessly
with all kinds of people until it was acquired by Microsoft in 2007. Although
it was already good at chatting, it still had a long way to go before passing
the Turing test. As you can see from our conversation just now, it is just a
machine after all.
This item was added to our catalog on Monday 24 April, 2023.