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HomeTechnology peripheralsAIWhat are the professional terms about artificial intelligence? Taking stock of common terms in artificial intelligence

Every technological innovation will be accompanied by a series of proper nouns. They will continue to appear in turn on various platforms as reported by social media, until they become an existence with public consensus. The era of artificial intelligence is undoubtedly close at hand. Next, let us understand the professional terminology about artificial intelligence.

What are the professional terms about artificial intelligence? Taking stock of common terms in artificial intelligence

General artificial intelligence: General artificial intelligence is referred to as AGI. Compared with the weak AI models that have been widely used in the market in the past, AGI has stronger understanding and computing capabilities. It has certain logical thinking abilities and even has the same consciousness as humans. Of course, this type of artificial intelligence is still in the research and development stage. Once successful, it will help mankind move to a new technological level.

What are the professional terms about artificial intelligence? Taking stock of common terms in artificial intelligence

Alignment: Alignment mainly focuses on setting the logic and values ​​of artificial intelligence, and strives to keep it consistent with human values ​​​​to ensure that it will not develop into the opposite of human beings.

Diffusion model: This type of model destroys the data by adding noise to the data, and then restores the data through reverse operations. This model can be applied in the future to repair damaged data, whether it is pictures, sounds or text.

Interpretability: Interpretability means that the running process of a thing can be explained in a way that can be understood by the target. The emergence of explainable artificial intelligence can help people understand the use of AI and improve its credibility.

What are the professional terms about artificial intelligence? Taking stock of common terms in artificial intelligence

Large model: The large model is a concept compared to the basic model. Basic models are generally only good at handling tasks in vertical fields and have poor compatibility. Large models have the ability of transfer learning, and the same model can be applied to different fields.

Tool Convergence: This theory believes that if super intelligence appears, it may adopt a series of self-protection measures to ensure its own survival.

Large language model: This model has an extremely large neural network structure and strengthens the understanding of human language by learning complex semantics, tone and content.

What are the professional terms about artificial intelligence? Taking stock of common terms in artificial intelligence

The above are some common artificial intelligence terms. What else do you know? Welcome to leave a message in the comment area.

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