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Will Wen Xinyiyan evolve? What is the core foundation of AI native applications? Will search engines still provide only 100 links? How to use AI to generate visual data charts? How to call the 8-level interactive function hidden in the application menu in one step?
Robin Li previously proposed that "Baidu will be the first company to reconstruct products using AI native thinking." He revealed that he will "teach you step-by-step how to make AI native applications" at the Baidu World Conference on October 17. , and there will be new appearances of Wen Xin Yi Yan, search, map, network disk and other application products
Robin Li "Teaches step by step how to make AI native applications"
It is reported that the theme of Robin Li’s speech at this year’s Baidu World Conference is “Teaching you step-by-step how to make AI native applications”. Behind the theme of the speech is Robin Li's experience on the reconstruction of AI nativeization. As he said before, the four core basic capabilities of AI, "understanding, generation, logic, and memory," were not technically available in the past and can also achieve AI success. A requirement for native applications.
The four core capabilities have created generative AI and created a new space for imagination and innovation. Through Robin Li's speech, every participant will deepen their understanding of AI capabilities - "understanding" is not just about reading tongue twisters, and "generating" is not just about painting and writing poems.
Wen Xinyiyan’s ability is further improved
In the past few months, Wen Xinyiyan’s iterative upgrades have never stopped. Since its release in March, Wenxin Yiyan has completed four upgrades within a month, reducing the inference cost of the large model to one-tenth of the original; after the Wenxin large model was upgraded to version 3.5, the training speed increased to the original 3 times, and the reasoning speed reaches more than 30 times.
Can it go further, surpass GPT-4, and play a more important role in life and production? Robin Li's speech may provide the answer to this.
Robin Li once mentioned that rolling large models is not as good as rolling applications - the form of AI native applications is more exciting than the large AI models themselves. Baidu's application ecosystem is also the best practice platform for AI nativeization. In the Baidu world, applications such as Baidu search, maps, network disks, and libraries will be presented in a new look
The development of large AI models is ushering in a new revolution
AI large models reconstruct not only applications, but also ecology. In just the past few months, generative AI has built a rich ecosystem covering applications, large model platforms, and plug-ins: those who want to use large model capabilities do not need to "roll up the large model" again. They can directly call capabilities on the Qianfan large model platform. Yes; if you want to apply large-scale models, you don’t need to develop a complete terminal. You can encapsulate the capabilities into plug-ins and "go out" with various AI native applications. As a result, an ordinary programmer with a non-AI orientation, or even an ordinary user who does not understand technology, can become a member of the AI ecosystem.
How will the large model ecosystem evolve rapidly? Entrepreneurs and developers who want to quickly enter large-scale entrepreneurship and join the AI ecosystem may find answers at the Baidu World Conference.
Baidu World will not disappoint the non-technology industry audience. Here, Du Gallery, Prompt capsule wall, holographic digital people, etc. bring an immersive AI experience and inspire imagination about the future of generative AI
In the gallery called Du Gallery, you can create paintings of various styles with Wenxinyige, and simultaneously present them in the AI gallery. With the refraction of multi-faceted prisms, you can feel the artistic shock brought by AI paintings; On the Prompt capsule wall, you can choose different capsule scenarios such as travel, office, and travel, and the interactive device will remind you to perfect the main body, details, and form of the Prompt in turn, "teaching you how to write Prompt step by step."
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