Shulou(Shulou.com)11/24 Report--

On September 17, the 2023 Nanjing artificial Intelligence Industry Development Conference, jointly sponsored by the Nanjing Municipal people's Government and the China Academy of Information and Communications, opened grandly. With the theme of "AI New trend Intelligence New era", the conference brings together industry leaders, academic experts and industry representatives in the field of artificial intelligence at home and abroad to jointly seek a new picture of the development of artificial intelligence industry. Li Fei, executive vice president of the Digital China Research Institute of Xinhua third Group, a subsidiary of Ziguang, was invited to attend and delivered a keynote speech, sharing the challenges and problems of the deployment of three pairs of Xinhua models in the private domain of the industry from the perspective of industry users. Based on Xinhua's own experience in exploring and applying the private domain model LinSeer, the "five-star principle" and "four-domain support" were proposed to promote AIGC to the business scene.

Li Fei, Executive Vice President of Digital China Research Institute of Xinhua third Group

The five-star principle is customized for the industry.

At present, the integration of AIGC technology into all industries is accelerating. While industry customers actively embrace AIGC, the application effect and cost of AIGC have become the most concerned issues of CEO / CTO. However, the increasing number of large model parameters, the demand for hardware resources and the increasing pressure of energy consumption lead to difficulties when they land in the industry. Li Fei pointed out that the "five-star principle" with appropriate cut-in scenarios, reasonable model size, efficient data governance, compliant content security, and suitable landing tools as the core will help to promote the deep integration of AIGC and industry.

Appropriate cut-in scenarios for ●: by distinguishing AIGC business application scenarios, it can accelerate the landing application of artificial intelligence industry. At present, LinSeer can introduce rich AIGC segmentation scenarios for various industries.

Reasonable model size of ●: the size of AI large model needs to balance the cost of computing power and energy consumption. A large model suitable for industry and business characteristics should be selected for private domain deployment. Xinhua third Group independently developed dynamic mixed expert (Dynamic Mixture of Experts) model technology, which can combine the prediction results of multiple expert models to achieve optimal deployment.

● efficient data governance: data is one of the core elements of the development of private domain models. Based on the Oasis platform, Xinhua three further precipitates industry data by building a private domain data lake to help customers train their own knowledge models and form valuable industry data assets.

Content security of ● compliance: the combination of customer business and AIGC may lead to content security problems such as disclosure of trade secrets or personal privacy and violation of laws and regulations. Security issues can be effectively avoided by establishing a content security system that integrates content input protection, model protection and content output protection.

Landing tools used by ●: effectively avoid the separation of large models from application scenarios, use the large model enabling platform to help industry customers open the demand channel from large models to specific business scenarios, and improve the action and memory of large models by connecting applications with large models to achieve the expansion and derivation of application scenarios.

Four domains support to promote the value realization of "four specialties"

The new paradigm of AIGC production will bring about changes in productivity and will reshape production relations in various industries. As a leader in digital solutions, Xinhua Group 3 keeps pace with the times and fully embraces the AIGC era. The private domain model LinSeer, launched this year, has the characteristics of industry focus, regional exclusivity, data exclusivity and value exclusivity, and can provide secure, customized, exclusive and growing intelligent services for customers in vertical industries and exclusive regions.

At present, LinSeer has formed a data domain with the oasis platform as the core, a large model domain based on the large model enabling platform (LinSeer Hub), a security isolation domain focusing on data security review, and a "four-domain support" of the user domain composed of AI assistants and AI services, which can provide end-to-end private domain deployment services for industry users and outline the panorama of the value realization of LinSeer.

Panoramic picture of value realization of Xinhua three hundred industry telepathy (LinSeer)

Simpler: reduce the cost of large model application with a complete AI tool chain, flexibly test and evaluate the domain capabilities of large model through session debugging, help customers continuously optimize prompts, allocate model parameters, and improve reasoning effect while reducing the operating cost of large model.

More versatile: compatible with different reasoning platforms and various large models, users can flexibly authorize applications, session, knowledge retrieval, instruction invocation and other functions can be unified management and reasoning deployment through the large model enabling platform (LinSeer Hub)

More secure: built-in security restriction prompts and entry and exit content filtering and blocking functions, which can restrict the content generated by large models in all scenarios and protect the security of user information and data.

More intelligent: through prompt word management, layout and use, we can clarify the goals, strategies and constraints of the large model to the application scene, and make the large model have the memory through vector storage and retrieval, and maximize the action power of the large model.

Facing the future, Xinhua Group 3 will continue to deepen the strategy of "original Cloud Intelligence", uphold the concept of "intensive cultivation and pragmatism, endow the times with wisdom", grasp the pulse of the AIGC era, study the original cutting-edge technology of cloud wisdom, deeply cultivate customer application scenarios, and comprehensively empower all trades and industries to innovate with the power of AI.

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