Artificial intelligence will replace. Many pseudo-experts in personnel and these pseudo-experts have not knocked a word of artificial intelligence methods, have not studied the underlying logic and algorithm of an artificial intelligence, he claims that artificial intelligence to replace you, let you buy his course, otherwise you will not know.
I am a programmer who has been developed for thirteen years, and I have started to study artificial intelligence in one or five years, and I will talk to you about the nature of artificial intelligence and its past and present lives.
First of all, the foundation of AI technology, embedding technology development can be traced back to linguistic research in the fifties and sixties of the last century, the most famous of which is the distributed language theory called distribulational semitics proposed by Harry in 1954.
The theory is that the dictionaries or morphologies of words can be represented by their distribution in context. The earliest nbading technology in the field of computer science can be traced back to the research of neural networks in the eighties and nineties of the twentieth century. That's when people started experimenting with using neural networks to learn MBAIN representations of words. The most famous is the neural language model proposed by Bindog in 2003: it's your language model, which can predict the next word based on the context of the word, predict the next word yes, and can use this model to generate nbating representations of words.
By about 2010, with the development of deep learning technology, nbatting technology has been widely used and studied, and at this time some important embedding algorithms have emerged, such as word to feck throat and fast text, which can learn the embedded representation of words by training neural networks to use techniques such as matrix factorization. These algorithms are widely used in various natural language processing tasks, such as text classification, machine translation, sentiment analysis, and so on.
In the past two or three years, with the rapid development of deep learning and natural language processing technology, nbating technology has been further improved and developed, such as bird anymore, GPT and other large language models, which can generate contextual nbaning representations, which can better capture the semantic meaning and context information of words, context information.
So to sum up, the essence of artificial intelligence is just the perfect application of statistics. Why a lot of data? A lot of data will count all expressions close to people, and all expressions I count this word. This sentence appears, what should the next sentence be? It is a statistic, so what is the statistical process of a large amount of data? is a vision process. Why is A 200 not so expensive? Yes, he's a vision process.
To sum up, can artificial intelligence still replace you? If you think about it, his reasoning ability is actually inferior to a guinea pig, or even inferior to a small ant, and he can go to work with confidence without buying their lessons. But you can understand the essence of artificial intelligence, so as not to be trapped by these anxious people.
