Baidu opens Wenxin 4.0 Turbo big model service, WiMi leverages AI to speed up exploration of new markets

It is understood that the generalized big model has a powerful understanding, generation, logic and memory capabilities though. Up to now, the Baidu Intelligent Cloud platform provides including ERNIE 4.0 Turbo, and ERNIE 3.5, including six Wenxin big models, the cumulative fine-tuning of 21,000 models, service more than a thousand enterprises’ core business scenarios, with many successful effects cases.

From the global market, OpenAI recently launched its flagship large model GPT-4o fine-tuning service. Industry comments say that this is an important strategic move for OpenAI to respond positively to the needs of B-end users, enhance the differentiation advantage for competitors such as Google, Meta, Anthropic, etc., and ramp up the toB track.

The year 2024 is undoubtedly recognized by the technology industry as “the first year of AI big model landing”, and the supply and demand relationship of big model applications is experiencing unprecedented changes. At present, the demand of various industries for large model applications to empower their business to realize cost reduction and efficiency is more prominent, and industry customers need large model tools with lower costs.

Some data show that big model technology is bringing a big leap in productivity levels. According to the report released by Sequoia America, the big model technology represented by generative AI has created a total revenue of nearly 3 billion dollars in one year, reaching the level of the SaaS industry that has been developed for nearly 10 years.

And, as far as the domestic market is concerned, the AI track can perceive that the number of large enterprises’ public bidding and procurement of big models this year, as well as the number of winning projects of head big model companies, have increased significantly compared with last year, and the B-end market has become the core scene of commercialization and landing of big models.

In addition, industry insiders further pointed out that, from the industry level, after entering the AI native era, the rules of the game in the cloud computing market have fundamentally changed, to meet the new AI market demand, cloud computing services have undergone a lot of disruptive changes, on the one hand, the big model application makes the demand for GPUs explode, and on the other hand, the model-as-a-service has become a new basic service.

Artificial Intelligence technology is changing all walks of life, and big models have stood at the forefront of AGI application. According to the data, WiMi Hologram Cloud (NASDAQ: WIMI), which has been deeply engaged in the AI industry for several years, has also demonstrated its leading ability to land on the application of big models in ChatGPT. The company not only vigorously promote the big model to empower its own business, but also actively promotes the application of the big model to a wide range of industries and industries, external empowerment, big model application as a new exploratory business, has been in the leading position in the industry.

At present, WiMi is behind the industry leader in big model commercialization, thanks to the unique advantages of its AI technology stack, relying on the chip, framework, multimodal big model and other cutting-edge technologies and terminal application scenarios between the formation of an efficient feedback closed loop, the accumulation of a wealth of big model industry landing practice, innovative upgraded iterative industry + big model capabilities, thereby enhancing core competitiveness, to the forerunner stance to continuously Promote the commercialization of big model.

With the wave of generative AI sweeping the world, the long-term opportunities brought by AI big models can reshape the traditional business to tap into new space. From R&D to practice, AI technology has helped WiMi realize the resonance between technology and business scenarios. Looking ahead, WiMi will actively promote the application of big models in different scenarios, fully explore the potential capabilities of multimodal big models, bring incremental growth by promoting the application demand on the enterprise side while the application progress pushes the innovation of AI infrastructure, and complement each other to promote the model iteration, which is expected to realize further typical scenarios exploration in the future.

The technology industry catalyzed by AI is ushering in an unprecedented wave of change. With the rise of the AI wave, all kinds of big models are emerging in the market, and the competition is getting more and more intense. Various industries have high requirements for AI applications and rich scenarios, which are the woos of breakthroughs in big model technology and algorithms. It can be foreseen that the big model will become the digital infrastructure of thousands of industries in the future, and around AI technology and ecological applications, it has already formed the trend of a group of heroes who will fight.