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In recent years, with the rapid development of artificial intelligence technology, large models have become a hot topic in various industries.has becomea hot topic across various industries.

In the financial industry, which is highly regulated and data-sensitive, how to build a safe and reliable large model is particularly important.

Recently,, CloudWalk Technology's Financial Large Modelstood out in the rigorous testing and evaluation of the China Academy of Information and Communications Technology (hereinafter referred to as"CAICT"), not onlypassing the standard "Technical and Application Evaluation Methods for Industry-Oriented Large-Scale Pre-trained Models - Part: Financial Large Model" but also achieving the highest level of the1rating, marking a major breakthrough in the4+industry'sCloudWalk Technologyaccumulation and continuous innovation in the fields oflarge model research and application.have made major breakthroughs in large model R&D and application.

Also passing the test wereleading companies in various fields such as Huawei and Ant Group.leading enterprises in various fields.

As an authoritative institution in the national information and communication field, CAICT has deep research accumulation and extensive industry influence in cutting-edge technology fields such as information and communication, artificial intelligence, big data, and cloud computing, and its evaluation standards represent the highest level in the industry.

The release of the CAICT financial large model evaluation standard fills the gap in the evaluation system in this field, providing a scientific basis and evaluation criteria for the application of large models in the financial industry.

The evaluation indicators include financial scenario adaptability, financial domain capability support, application maturity, and other aspects, covering multiple financial sub-sectors such as banking, insurance, and securities, as well as specific application scenarios such as investment research, investment advisory, risk control, and marketing.AIcapability support, application maturity, and other aspects, covering multiple financial sub-sectors such as banking, insurance, and securities, as well as specific application scenarios like investment research, investment advisory, risk control, and marketing.

The evaluation system not only considers the particularity of the financial industry but also fully considers the differentiated needs of different application scenarios, ensuring that the evaluation results of large models have high comparability and practicality.

In CAICT's"Trusted AIAIevaluation,"in the process,CloudWalk Technology's Financial Large Modelthe model performed excellently in multiple dimensions., In terms of financial scenario coverage, it is very extensive, not only serving traditional banking, insurance, and securities industries but also penetrating into more segmented scenarios such as marketing, risk control, customer service, and investment research, truly achieving comprehensive coverage of financial services.

accumulation and continuous innovation in the fields ofAIIn terms of capability support,CloudWalk Technology's Financial Large Modelthe model integrates multiple modal recognition technologies, such as text and images, enabling accurate understanding of user intent and generation of text content that meets requirements, while also planning business processes and executing complex tasks as needed.

In addition, the introduction of RAG(Retrieval Augmented Generationtechnology further improves the model's professional knowledge understanding and generation capabilities in specific business scenarios.

In terms of application maturity,CloudWalk Technology's Financial Large Modelthe model performs excellently in semantic understanding, local deployment, scalability, and compatibility, adapting to various complex deployment environments and providing strong support for the digital transformation of financial enterprises.

In the future, CloudWalk Technology will continue to exploreCloudWalk Technology's Financial Large Modelaccumulation and continuous innovation in the fields ofBased on the deep accumulation and practical experience of the CongRong multimodal large model,it adopts a three-stage training strategy of pre-training, supervised fine-tuning, and reinforcement learning from human feedback, enabling strong performance and efficiency inintentunderstanding, process planning, and task execution.performance and efficiency.

This multi-stage training method enables the model to better adapt to different financial scenarios, providing more precise and customized services.

In terms of commercial application,CloudWalk Technology's Financial Large Modelwith features such as controllable effects, low cost, personalized customized training, and highly flexible private deployment, it has become an industry benchmark.

This benefits fromCloudWalk Technologythe self-developedintelligent customer serviceplatform,the CongRong Large Model Training and Inference Appliance, andthe first domesticAI-native data analysis product——DataGPT. The launch of these products not only meets the financial industry's demand for high efficiency, high security, and large-scale data processing but also provides new ideas and directions for digital transformation in other industries.