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The AI dialogue system originated from the Turing test and is one of the most important research directions in the field of artificial intelligence. "If natural language processing is the 'crown pearl' of artificial intelligence, then the AI dialogue system is one of the most difficult and core tasks in natural language processing, and is the 'brightest one among the pearls.'" Huang Minlie said .
Huang Minlie said that in recent years, with the continuous development of deep learning technology, AI dialogue systems have evolved from the first generation based on rules to the third generation with traditional machine learning as the core. The second generation has developed into the third generation, which is characterized by big data and large models. The dialogue ability has undergone revolutionary changes and has demonstrated amazing dialogue capabilities on open topics. It is of great significance and will further promote the development of the artificial intelligence industry. value.
"Considering that AI dialogue systems have many tasks, diverse evaluation dimensions, and rich technical routes, the writing team only focused on dialogue systems that are completely dominated by machines when formulating the "Grade Definition", and did not consider dialogue systems that are hybrids of humans and machines. Within the range." Huang Minlie said.
Huang Minlie introduced that at the same time, in order to exert value in practical applications, the "Grade Definition" is formulated from the perspective of user perceptibility, observability, measurability, and measurability, without considering the specific technical implementation of the system. The method does not distinguish between assistant tasks, small talk, knowledge dialogue, etc., and is all expressed in "scenarios".
Based on the above principles, the "Grade Definition" includes automatic dialogue capabilities, dialogue quality, single/multiple scenarios, cross-scenario context dependence and natural switching capabilities, degree of anthropomorphism, active and continuous learning capabilities From the perspective of multi-modal perception and expression capabilities, the AI dialogue system is divided into six levels, L0 to L5. The higher the level, the higher the level of the AI dialogue system.
"From the above standards, the current highest level of AI dialogue system has developed to between L2 and L3. Common AI intelligent assistants such as 'Xiao Ai' are at this level." Huang Minlie said.
Compared with foreign countries, how is the level of my country’s AI dialogue system? In this regard, Wang Bin, chairman of Xiaomi's technical committee and director of the AI laboratory, said that judging from current industrial applications, there is no significant difference between my country's AI dialogue systems and foreign AI dialogue systems, and they are generally at the same level.
"Now the AI dialogue system as a whole is on the road to development towards L3 and L4. There is still a certain distance from the ideal, and it will take one to two years or even longer of continuous efforts." Huang Minlie said that to develop towards To advance towards L4 and L5, we need to crack many key technologies in memory, association, reasoning, self-learning ability, etc. To make highly expressive speech synthesis, if it is applied to the metaverse, we also need to make fine-grained movements and expressions. Expression is extremely challenging.
According to Liu Qun, chief scientist of speech semantics at Huawei's Noah's Ark Laboratory, the highest level application of AI dialogue systems is complex emotional tasks. The release of the "Grade Definition" will promote the implementation of AI dialogue systems in emotional tasks. A higher level of intelligence, thereby promoting the future application of artificial intelligence in emotional companionship, mental health, virtual humans, metaverse, etc., greatly reducing human and material costs, and promoting cutting-edge technology to enter the daily lives of the public.
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