Recently, iiMedia Research, a third-party data mining and analysis organization in the global new economic industry, released the "Research Report on the Market Status and Development Trend of China AI Large Model from 2024 to 2025," analyzing the case of benchmark enterprises of AI large model in China. With the application practice and remarkable results of Financial TRS-GPT LLM, TRS was listed as a benchmark enterprise of financial large model.

Financial TRS-GPT LLM takes 11 billion + financial theme data, 3 billion + industrial element detailed data, 150 categories + industrial data, more than 500+ indexing dimensions and other high-quality financial data accumulated by TRS Internet Data Center as professional training data, mainly facing intelligent risk control, marketing customer acquisition, science and technology finance, intelligent consumer protection and other business scenarios.

In the case of risk early warning data service of a large financial group, TuoerRSsi constructs intelligent early warning service based on heterogeneous data by using large model technology for post-loan risk management, post-investment risk management, supplier monitoring, macro research, compliance internal control and other scenarios of nearly 12 subsidiaries of the Group, constructs information funnel model for hundreds of millions of public opinions, and excavates risk early warning signals of enterprises, with signal accuracy up to 98%.

In the project of science and technology finance marketing and risk monitoring of a large-scale state-owned bank, TRS combines the science and technology industry chain, evaluates the value and risk of science and technology enterprises with new technology, serves 37 branches, daily marketing data 20w +, expands the ecology of science and technology finance channels, cultivates science and technology maker groups, optimizes the risk control system of science and technology finance, and realizes the continuous improvement of comprehensive service capability of science and technology finance.

In the intelligent elimination and control scheme project of a joint-stock bank, TRS helps the bank to construct the intelligent elimination and control scheme. On the one hand, it realizes the efficient operation of the elimination and protection review mechanism, effectively contains the hidden risks, and improves the efficiency of each review by more than 150% on average. On the other hand, the effectiveness of complaint management has begun to show, consumer satisfaction trend is good, customer complaints decreased by more than 20% compared with the previous year.