After seeing the productivity revolution brought about by generative AI, many companies or enterprises have begun to deploy AI technology internally. From front-end sales to back-end management, the shadow of artificial intelligence can be seen everywhere. But in the process of implementation, there are very few examples of how generative AI can realize its potential. Perhaps contextual in-depth testing was missing during this development process.
If you want to improve the professionalism of generative AI in vertical fields, it is necessary to increase the proportion of professional knowledge, analysis dimensions, analysis skills, and business models in the training materials in the model development stage. Theoretical knowledge is more to help the model to exercise industry thinking, and only specific operation skills can improve its value at the application level more quickly. The training of these unstructured information is more conducive to enhancing the contextual training of generative AI.
Through situational training, on the one hand, more in-depth demand mining can be carried out in the product development stage, and the selection of users can be expanded on the supply side. At the customer level, scenario-based can help generative AI proactively optimize service content and form more personalized intelligent services. Through the bridge of generative AI, developers can understand user needs more intuitively and conveniently, improve the efficiency of product improvement, and make enterprises more competitive.
In addition, scenario-based can also further improve the level of ethical supervision of generative AI. Using this technology, it can reduce the audit pressure in the data governance process, let mechanical audits replace human audits, and improve the accuracy of audits. Scenario-based simulation, on the other hand, can transform supervision from passive to proactive, explore more potential security risks, and take countermeasures in advance to reduce data bias.
For generative AI, scenario-based is undoubtedly a practical way to help it land faster, and it is also a necessary existence for it to further tap its potential.