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Since the last six months, the wave of big models, everything can be GPT, BAT and other companies are releasing their own big model products, hundreds of "model" war, group "model" chaotic dance have not been strange. Various scales of the launch of your side sang I appeared, each enterprise is riveted to the outside world to prove their imagination space is how big. After entering July, the general large model slightly cooled down, industry-specific large model began to appear, such as dedicated to the hotel and tourism Ctrip "Ask", dedicated to education Netease Yodao "ZiYao", dedicated to Chinese medicine diagnosis and treatment of Dajing TCM "Qihuang asked", and so on and so forth.
The reason for this change, on the one hand, is due to different enterprises have their own business focus, and therefore create a large model of the product is also inevitably affected by its objective fact; on the other hand, with the overall development of the large model, its industrialization is also beginning to be more and more mentioned. After all, if it can not be deployed into the touch of the product, and then advanced technology is meaningless. In mid-June, Mercedes-Benz cooperated with Microsoft and became the first car company in the world to integrate ChatGPT into its own in-vehicle voice control system; half a month later, a bicycle company announced that it was equipped with ChatGPT, and Geely recently announced that it would release a full-stack self-developed in-vehicle big model in September. As a bystander in lamenting the light of science fiction into reality at the same time, also can not help but let a person reverie, big model may really be the next wind mouth of automotive intelligence?
I. Big model on board, fasten seat belts
On June 16, Mercedes-Benz, a century-old car company, and Microsoft announced that the two companies are expanding their partnership in AI to integrate ChatGPT into Mercedes-Benz's in-vehicle voice control system. The partnership will allow owners to experience ChatGPT while driving through Microsoft's Azure OpenAI service.The test is scheduled to officially begin on the same day as the 16th, and a total of about 900,000 Mercedes-Benz equipped with MBUX infotainment systems in the U.S. will be able to participate in the test.
The development of technology in recent years shows that the car is becoming more and more into a new type of intelligent terminal. After the emergence of the big model, the relationship between human-car and car-machine is also inevitably affected. Specifically, this impact is mainly reflected in two aspects: 1. the impact on automatic driving. 2. the impact on the intelligent cockpit. The following are separated.
The impact of large models on automatic driving. Big models can handle massive data, and at the same time have multi-dimensional analysis capabilities, which can provide more accurate and comprehensive data analysis and prediction capabilities. Keeping the optimization and upgrading of the big model can improve the accuracy and reliability of automatic driving. Like ChatGPT kind of generalized big model, also when the number of participants reaches a certain level and starts to have enough ability, it can fire all over the world. And specifically to the application level, the impact of the big model on automatic driving can be subdivided into the cloud and the vehicle end. In the cloud, car companies can play the innate large parameter capacity advantage of the big model, through the big model to complete most of the data annotation and mining work, cost savings, but also with the help of simulation scenarios to build empowerment. On the vehicle side, the big model can be subdivided into multiple subsidiary sub-models to manage different sub-tasks, saving the reasoning and calculation time on the vehicle side and increasing driving safety. In addition, the cloud to the vehicle end of the perception decision-making integration algorithm is often considered to be the last bottleneck of the automatic driving algorithm, perhaps in the car access to the big model can also be effectively solved, the automatic driving algorithm upgrades may no longer be out of reach.
In addition, big models will also have a new impact on the R&D methods and business models of car companies. In terms of R&D methods, due to AI's efficient annotation capabilities are obvious to all, data annotation tasks that used to take a long time can now take only a few hours, the time cost of R&D is greatly compressed, and the big model can deal with multi-modal rich data, such as voice, gesture, vision, etc., which can help car enterprises to deeply improve overall R&D effectiveness, reduce costs and increase efficiency. In terms of business model, the current big model is generally able to speak well, integrated into the vehicle system, people, cars and machines may develop from "employment relationship" to "companion relationship", the big model through the machine learning ability will gradually understand human preferences and habits, and then derive a new The big model through machine learning ability will also gradually understand human preferences and habits, and then derive a brand new commercial value.
Second, are big models and automobiles a match made in heaven?
After Mercedes-Benz announced its cooperation with Microsoft, domestic Ideal Auto also released its own large model MindGPT, and Baidu's Wenxin Yiyin was also accessed by many car companies such as Red Flag, Changan, Geely, Lantu, and Zero Run. Therefore, it can be expected that the combination of big models with car companies and cars will become more and more common. From the point of view of the participating car companies, they have their own focus and direction for the development of big models. From a functional point of view, they can be divided into two types: 1. for the communication and dialog field of intelligent cockpit; 2. for intelligent systems such as automatic driving. The former, such as the aforementioned cooperation between Mercedes-Benz and Microsoft, as well as access to the Alibaba AliOS intelligent car operating system of Tongyi Qianqian; the latter, such as Ideal Auto's self-developed MindGPT, which gets rid of the dependence on high-definition maps and makes the car closer to the driving performance of human drivers, and the generative big model of self-driving of the millimetre-end Zhixing's DriveGPT, which helps to solve the problem of cognitive decision-making and ultimately realizes the development of cloud-to-vehicle automated driving. cloud-to-vehicle autonomous driving. In addition, four car companies, Great Wall, Chery, Azure and Xiaopeng, have also registered and applied for several GPT-related trademarks, and it is believed that there will soon be big model-related results coming out.
Since the last six months, the wave of big models, everything can be GPT, BAT and other companies are releasing their own big model products, hundreds of "model" war, group "model" chaotic dance have not been strange. Various scales of the launch of your side sang I appeared, each enterprise is riveted to the outside world to prove their imagination space is how big. After entering July, the general large model slightly cooled down, industry-specific large model began to appear, such as dedicated to the hotel and tourism Ctrip "Ask", dedicated to education Netease Yodao "ZiYao", dedicated to Chinese medicine diagnosis and treatment of Dajing TCM "Qihuang asked", and so on and so forth.
The reason for this change, on the one hand, is due to different enterprises have their own business focus, and therefore create a large model of the product is also inevitably affected by its objective fact; on the other hand, with the overall development of the large model, its industrialization is also beginning to be more and more mentioned. After all, if it can not be deployed into the touch of the product, and then advanced technology is meaningless. In mid-June, Mercedes-Benz cooperated with Microsoft and became the first car company in the world to integrate ChatGPT into its own in-vehicle voice control system; half a month later, a bicycle company announced that it was equipped with ChatGPT, and Geely recently announced that it would release a full-stack self-developed in-vehicle big model in September. As a bystander in lamenting the light of science fiction into reality at the same time, also can not help but let a person reverie, big model may really be the next wind mouth of automotive intelligence?
I. Big model on board, fasten seat belts
On June 16, Mercedes-Benz, a century-old car company, and Microsoft announced that the two companies are expanding their partnership in AI to integrate ChatGPT into Mercedes-Benz's in-vehicle voice control system. The partnership will allow owners to experience ChatGPT while driving through Microsoft's Azure OpenAI service.The test is scheduled to officially begin on the same day as the 16th, and a total of about 900,000 Mercedes-Benz equipped with MBUX infotainment systems in the U.S. will be able to participate in the test.
The development of technology in recent years shows that the car is becoming more and more into a new type of intelligent terminal. After the emergence of the big model, the relationship between human-car and car-machine is also inevitably affected. Specifically, this impact is mainly reflected in two aspects: 1. the impact on automatic driving. 2. the impact on the intelligent cockpit. The following are separated.
The impact of large models on automatic driving. Big models can handle massive data, and at the same time have multi-dimensional analysis capabilities, which can provide more accurate and comprehensive data analysis and prediction capabilities. Keeping the optimization and upgrading of the big model can improve the accuracy and reliability of automatic driving. Like ChatGPT kind of generalized big model, also when the number of participants reaches a certain level and starts to have enough ability, it can fire all over the world. And specifically to the application level, the impact of the big model on automatic driving can be subdivided into the cloud and the vehicle end. In the cloud, car companies can play the innate large parameter capacity advantage of the big model, through the big model to complete most of the data annotation and mining work, cost savings, but also with the help of simulation scenarios to build empowerment. On the vehicle side, the big model can be subdivided into multiple subsidiary sub-models to manage different sub-tasks, saving the reasoning and calculation time on the vehicle side and increasing driving safety. In addition, the cloud to the vehicle end of the perception decision-making integration algorithm is often considered to be the last bottleneck of the automatic driving algorithm, perhaps in the car access to the big model can also be effectively solved, the automatic driving algorithm upgrades may no longer be out of reach.
In addition, big models will also have a new impact on the R&D methods and business models of car companies. In terms of R&D methods, due to AI's efficient annotation capabilities are obvious to all, data annotation tasks that used to take a long time can now take only a few hours, the time cost of R&D is greatly compressed, and the big model can deal with multi-modal rich data, such as voice, gesture, vision, etc., which can help car enterprises to deeply improve overall R&D effectiveness, reduce costs and increase efficiency. In terms of business model, the current big model is generally able to speak well, integrated into the vehicle system, people, cars and machines may develop from "employment relationship" to "companion relationship", the big model through the machine learning ability will gradually understand human preferences and habits, and then derive a new The big model through machine learning ability will also gradually understand human preferences and habits, and then derive a brand new commercial value.
Second, are big models and automobiles a match made in heaven?
After Mercedes-Benz announced its cooperation with Microsoft, domestic Ideal Auto also released its own large model MindGPT, and Baidu's Wenxin Yiyin was also accessed by many car companies such as Red Flag, Changan, Geely, Lantu, and Zero Run. Therefore, it can be expected that the combination of big models with car companies and cars will become more and more common. From the point of view of the participating car companies, they have their own focus and direction for the development of big models. From a functional point of view, they can be divided into two types: 1. for the communication and dialog field of intelligent cockpit; 2. for intelligent systems such as automatic driving. The former, such as the aforementioned cooperation between Mercedes-Benz and Microsoft, as well as access to the Alibaba AliOS intelligent car operating system of Tongyi Qianqian; the latter, such as Ideal Auto's self-developed MindGPT, which gets rid of the dependence on high-definition maps and makes the car closer to the driving performance of human drivers, and the generative big model of self-driving of the millimetre-end Zhixing's DriveGPT, which helps to solve the problem of cognitive decision-making and ultimately realizes the development of cloud-to-vehicle automated driving. cloud-to-vehicle autonomous driving. In addition, four car companies, Great Wall, Chery, Azure and Xiaopeng, have also registered and applied for several GPT-related trademarks, and it is believed that there will soon be big model-related results coming out.
III. Light but no light, still waters run deep
Cars and big models have strong scientific and technological attributes, and the greatest significance of the combination of the two may lie in the complementarity of each other's strengths and weaknesses, that is, to strengthen the manufacturing and consumer attributes of the big models, while strengthening the electronic and technological attributes of the car. So it seems that the real decision on whether the big model can get into the car also depends on the car companies' own technological strength, which even relates to whether they can occupy the future technological commanding heights.
In all fairness, the combination of cars and big models is worth looking forward to. A major significance of the big model is to redefine the human-computer interaction and related service ecosystem, on board the car will accelerate the process of electronic consumption of the car application service ecosystem, which will largely change the definition of automobiles, in-vehicle systems, big models and other underlying products. In this regard, Huawei automated driving product department former minister Su turnip words can be said to hit the nail on the head: "in the view of the traditional car manufacturers car is the base, in-vehicle App or other systems are trying to put the computer or AI embedded in this base. Our view is different, the base is the computer, the car is a computer-controlled peripheral. This is the essence of the view is different."
III. Light but no light, still waters run deep
Cars and big models have strong scientific and technological attributes, and the greatest significance of the combination of the two may lie in the complementarity of each other's strengths and weaknesses, that is, to strengthen the manufacturing and consumer attributes of the big models, while strengthening the electronic and technological attributes of the car. So it seems that the real decision on whether the big model can get into the car also depends on the car companies' own technological strength, which even relates to whether they can occupy the future technological commanding heights.
In all fairness, the combination of cars and big models is worth looking forward to. A major significance of the big model is to redefine the human-computer interaction and related service ecosystem, on board the car will accelerate the process of electronic consumption of the car application service ecosystem, which will largely change the definition of automobiles, in-vehicle systems, big models and other underlying products. In this regard, Huawei automated driving product department former minister Su turnip words can be said to hit the nail on the head: "in the view of the traditional car manufacturers car is the base, in-vehicle App or other systems are trying to put the computer or AI embedded in this base. Our view is different, the base is the computer, the car is a computer-controlled peripheral. This is the essence of the view is different."
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