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From the physical When studying economics and business, there is a well-known “Flywheel Effect”, which means that when the flywheel is first started to rotate, it requires a lot of force but the speed is very slow. Once the speed reaches a certain After the critical point, the flywheel will rotate at high speed very easily. This principle can be applied to all aspects. For example, the hardest days of fitness are the first few days. Once a habit is formed, it will become easier and easier.
For an enterprise or an industry to exhibit a flywheel effect, it needs to form a driving relationship like gear meshing between various business modules and technical modules. In the early stage, there will be huge exploration pressure, but when the flywheel is on the right track, it will develop rapidly and its lead will continue to increase.
AI large models are showing the same “flywheel effect” as the former Internet industry.
On October 17, Baidu World 2023 with the theme of “Born for the Future” was held in Beijing Shougang Park. Among them, Baidu CEO Robin Li said, “Large models are becoming an important driving force for new industrialization” and said Rwandans Escort, Wenxin Large Model 4.0 has completed a comprehensive upgrade of the basic model, with obvious improvements in understanding, generation, logic and memory capabilities Improved, the comprehensive level is “indistinguishable from GPT-4”.
Why in a very short period of time, the focus of the industry’s tracking has changed from “whether China can have a big model” to “Wenxin Rwandans EscortBig model goes head-to-head with GPT-4? Rwandans Sugardaddy What is the secret behind the rapid evolution of Wenxin models?
Same thing. During the Baidu World Conference, Baidu Chief Technology Officer Wang Haifeng explained the key technologies and latest developments behind Wenxin Big Model 4.0.
In this, we can understand how Wenxin’s large model exerts all-dimensional force and creates a flywheel effect that belongs to the AI era.
Technical flywheel, Wenxin Large Model 4.0 comprehensive evolution
Wenxin Large Model has shown evidence of the flywheel effect in many aspects. From the three most important areas of experience effects, user scaleRwandans Escort, and landing scenarios, we can find the position of Wenxin’s large model Unbelievable rate of degradation.
Wang Haifeng introduced the understanding, generation and logic of Wenxin Big Model 4.0Rwanda Sugar Daddy ://rwanda-sugar.com/”>Rwandans Escort, the four major capabilities of memory have been significantly improved. In September, small traffic has been launched online, and the performance has increased by nearly 30% in the past month or so. Since Wenxinyiyan was opened to the whole society on August 31, the number of users has reached 45 million, 54,000 developers, 4,300 scenarios, 825 applications, and more than 500 plug-ins.
In all walks of life Rwanda Sugar is very focused on tracking code generation areas of concern. Comate, an intelligent code assistant developed based on Wenxin’s large model, has excellent results within Baidu, with an overall code adoption rate of 40%, a high The code adoption rate by video users reaches 60%. At this stage, 20% of Baidu’s new codes are generated by Comate
And these numbers are still growing rapidly
Wen Xin. Big models can quickly replace new materials to version 4.0, and experience and performance continue to improve. What is the logic behind it?
The answer is that Baidu has spent many years in-depth learning of basic technologies, model training, and reasoning. The accumulation of structures in , applications and other aspects has established a full-stack technical advantage at the large model level. In other words, Baidu has taken the lead in crossing the flywheelRwanda. The investment period of Sugar‘s effect Rwandans Sugardaddy‘s clever kinetic energy can continue to accumulate, making Wen Xin a big model. The “technical flywheel” is running at high speed.
Looking at the upgrade path of Wenxin Model, we can clearly see the operation mode of Wenxin Model since its birth. The two key breakthrough points of enhancement and industrial level not only integrate Baidu’s AI technology advantages, but also identify the direction of future sustainable development. In May of this year, Wen Xin Yiyan, as the basic model, When the large model is upgraded to version 3.5, it has achieved comprehensive breakthroughs in terms of basic model upgrades, fine-tuning technology innovation, enhancement of knowledge points, enhanced logical reasoning, and plug-in mechanisms. By the time it reaches version 4.0, its basic technical architecture is different from that of 3.0 and 3.0. Version 3.5 is in the same vein, and has made further breakthroughs in multiple key technologies. Looking back at the upgrade process of Wenxin’s large model, we can find that in terms of training algorithm efficiency, Wenxin has increased by 3.6 times since March. In terms of training stability, Weekly. The average training effectiveness rate has exceeded 98%.
With Baidu’s AI technology and R&D matrix accumulated over ten years, Wenxin Model 4.0 shows a huge upgrade. We can summarize its key nodes into three enhancements:
1. Model enhancement.
Model learning and reasoning capabilities are the foundation of large models and the core of the industrialization of large models. In this regard, Wenxin Large Model 4.0 continues the previous rapid evolution model. By running the Flying Paddle platform on Wanka’s computing power, building cluster infrastructure and scheduling systems, and co-optimizing the hardware and software of the Flying Paddle framework, the stable and efficient training of Wenxin’s large models is supported.
At the same time, Baidu has also built a multi-dimensional data system, forming a closed loop of data mining, analysis, analysis, labeling, and evaluation, which can fully release the value of data, greatly improve model effects, and is based on monitoring, fine-tuning, and partial diligence. Learning, reinforcement learning and other technologies are used for multi-stage alignment to ensure that the model is better aligned with human judgment and selection, and then incremental parameter tuning is achieved through reproducible training technology, saving training resources and time, and accelerating model iteration rate.
It can be seen that the reason why Wenxin Large Model maintains efficient and large-scale iteration is composed of many aspects. Computing power platforms, data platforms, training tools, and a series of new model training technologies are all involved. In particular, the combined tuning with the flying paddle continues to play a more important role.
2. Strengthen common sense.
The Wenxin large model achieves high accuracy and high efficiency. The key lies in the application of knowledge point enhancement technology. In the Wenxin Large Model 4.0 stage, knowledge point enhancement technology began to be applied in the dual stages of input and output. When the user enters a question, Wenxin 4.0 will disassemble the knowledge points required to answer the question, then search for the correct knowledge in search engines, knowledge maps, and databases, and then assemble the knowledge into Prompt and send it to the large model. On the other hand, the large model will also reflect on the input results, summarize knowledge points from the generated results, and then confirm and verify through the above methods, and correct the result errors.
In this way, it is equivalent to the large model not only understanding the knowledge mentioned by the user, but also reflecting on the knowledge entered by itself. We found that big models sometimes “RW Escorts talk nonsense” and even doubt the input results. The two-way application of enhanced knowledge points will greatly Greatly improve the accuracy of generated internal tasks.
3. Mechanism strengthening.
In recent times, the intelligent agent mechanism has received extensive tracking attention from the industry and has become a new outlet for the development of large models. In this regard, Baidu has further developed an intelligent agent mechanism, including understanding, planning, reflection and evolution, which can achieve reliable execution, self-evolution, and white-box the intelligent agent’s thinking process. This allows AI to have a rational thinking ability similar to that of humans, so that it can independently complete complex tasks and respond to the surrounding conditionsRW EscortsContinuous learning to achieve independent evolution.
As you can see, Wen Xin’s large modelRwandans Escortzi’s core technology upgrades are interlinked and promote each other. A positive driving cycle is formed in terms of large-model training efficiency, AIGC results, and cutting-edge technology exploration. For example, , the combined optimization of Wenxin and Feipiao can now be seen to be increasingly valuable, and has a huge impact on improving model iteration efficiency and reducing model costs. This is the deep learning development that Baidu has devoted its efforts to build for ten years. Platform capabilities are released into large models.
High investment, extensive accumulation, and cutting-edge exploration are combined into interlocking gears.
This kind of technical strategy is firmly implemented around the world. Retreating from the AI track Rwanda Sugar Daddy embodies the flywheel effect of the cultural model
Using the flywheel, the industry has been fully implemented.
Looking out from the technical flywheel, large models must drive the flywheel of the scene to rotate, so that technology can finally gain value. In this regard, we can see that Wenxin large models are solving the key problem on the application path: depth. .
From the current point of view, the application value brought by Wenxin large models can already give a definite answer. At the Baidu World Conference, Wang Haifeng shared two large model application cases with friends. .
One is Baidu’s strategic cooperation with the National Library of China to use the world’s largest modern chronicle resources owned by the National Library to help the Wenxin Big Model learn modern local chronicles and genealogy data. In this scene, Chinese people all over the world obtain clues to trace their roots and realize their desire to trace their roots. We can see the use of rare and non-traditional data such as Fang Zhi, which extremely tests the understanding and logical ability of the big model. The big model has withstood the test and built a smart bridge for overseas Chinese to return to their hometown.
The second is that Baidu and the National Diving Team work together to help the National Diving Team complete AI-assisted training based on Wen Xinyiyan and other Baidu large-scale model technologies The system has been fully upgraded. By mastering rich diving knowledge, the large model can understand and implement complex instructions from coaches and athletes, conduct real-time scoring of athletes’ actions, and achieve accurate quantitative analysis.Provide valuable intelligent guidance.
These two scenes fully demonstrate the depth of scene application of Wenxin Big Model 4.0. As technology continues to improve, the threshold for large-scale industries continues to decrease, and the application space continues to expand. All industries are willing to cooperate with Baidu to explore the possibilities of large models.
RW EscortswillingnessRwanda Sugar With exploration, application synergy is formed, deepening the flywheel effect of cultural model in thousands of industries.
Talent flywheel, comprehensive strengthening of large-scale talent cultivation
What is the ultimate demand in the large-scale era? The AI boom that started in 2012 has actually told us the answer for a long time: intelligence ultimately relies on talents. Huge talent gaps, hard-to-obtain educational resources, and disconnected cooperation between industry, academia, and research institutes have always been the most basic difficulties that plague the development of AI technology.
For clarity Solving this problem requires joint efforts from all walks of life, and Rwandans Sugardaddy requires the decision and responsibility of leading enterprises. We still remember that as early as 2020, Baidu proposed the goal of cultivating 5 million AI talents for the whole society in 5 years. Looking at it now, the proposing and promoting of this goal has played the role of base and engine for the development of China’s large model industry today. At the Baidu World Conference, Wang Haifeng announced the latest data on Baidu’s AI talent training. With the goal of cultivating 5 million AI talents in five years, Baidu has trained 4.2 million AI talents so far. But it is clear that the arrival of large models will increase the gap in AI talent and bring new issues and challenges to AI talent training.
In this regard, it can be seen that Baidu has taken the initiative to undertake the talent training commitment in the large model era. In order to intensively cultivate talents who understand large model technology and adapt to the development needs of large models, Wang Haifeng launched Baidu’s “Galaxy Plan” for talent training. He said: “We will work closely with all sectors of industry, academia and research to deepen the integration of industry and education, cultivate another 5 million large-scale talents for society, and let artificial intelligence technology Rwanda Sugar Daddy‘Flower of innovation’, bearing more ‘fruits of wealth’, serving national strategy, serving social development, and serving the people well-being. ”
Talent is the basis for Rwanda Sugar’s continuous development and the source of the possibility of innovation. Continuous investment in talent cultivation , the continuous improvement and upgrading of talent training models have strengthened this driving force.
The 5 million large-scale talents from the “Galaxy Project” will strengthen the flywheel of Wenxin large-scale models in the broader future. Effect.
One flywheel, ten thousand flywheels
From one computing power node, one training plan, one innovation of algorithm mechanism, to the participation of tens of thousands of companies and the participation of tens of thousands of industries, With the participation of tens of thousands of developers, the flywheel structure of Wenxin large models is becoming more and more complex, and the connection range is becoming wider.
An upgrade of the core technology of large models may be passed. A Prompt changes a person’s life, affects the development of a company through a native AI application, and upgrades the productivity of an industry through a certain implementation scenario. When the flywheel of technology, industry, and talent is in full swing, we will. It will enter the real era of large models.
The flywheel effect of Wenxin Large Models 4.0 is actually a microcosm. It clearly means that China’s large model industry has entered a period of rapid growth. With faster speed and stronger core competitiveness, China has gradually transformed from a participant in the global AI industry to a leader.
China’s large-scale technology is constantly accelerating and core innovation is constantly strengthening. This can be seen in the comprehensive improvement of understanding, logic, and memory abilities of Night Model 4.0
in Rwandans Sugardaddy. The industrial threshold of models continues to decrease, and the application possibilities of AI native Rwandans Sugardaddy in various industries are greatly enhanced in the national library and China. This can be seen in the intelligent experiment of the diving team.
China’s large-scale talent training path is clearer, the talent supply is more perfect, and the driving force for innovation is continuous. It can be seen in the 5 million large-scale talent training plan. See.
The current reality is that China’s large model industry is on the right track and leading companies have the ability and ambition to achieve greater exploration and breakthroughs in the large model era. Can keep pace with GPT-4, the answer is here
The flywheel of Wenxin large models drives Baidu’s AI.Flywheel; Baidu’s flywheel will spread its influence through various platforms, applications, tools and joint channels. Thousands of flywheels that drive thousands of industries.
The flywheel of Wenxin 4.0 is spinning Rwandans Escort, China’s intelligent flywheel is roaring.
The large-scale train is running on the railway tracks of smart China. Go to the next stop, go to the farther stop, to the stars and the sea.
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