Foundation of technology fusion
Generation AI In the industrial application, the traceability of the decision base, the output accuracy, and the transparency of the algorithm become the core problem. The deep collaboration between the graph database and the large-scale language model creates a new paradigm for the dynamic knowledge network construction for enterprises.
Corporate specialization type AI Platform
1.By means of intelligence mapping of contextual related data LLM Improve the accuracy of corporate applications. Features:
2.Cost efficient innovation: 40% improvement in model training efficiency
3.Knowledge graph evolution
4.Interaction Revolution: natural language UI Coding required, 72% reduction in learning cost.
Open ecosystem strategy
Main AI Maintain compatibility with the architecture (chatgpt / palm2, etc.) and LangChain Seamless collaboration with development framework. An open connection to the advanced technology ecosystem is realized by openness, and it is shortened to the average integration period 11.6 business days.
A value creation mechanism
Free data value in three tier structure:
Structured layers: the company's own cognitive central construction
Inference layer: causation analysis of business judgment
Application layer: intelligent CS Business scenario drive