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It is clear to everyone that the biggest barrier to implementing large AI models in vertical areas such as finance, healthcare, and law is the problem of the "illusion" of results that do not meet the accuracy requirements in real-world use cases. How to solve this? Recently, @Mira_Network launched a public test network, offering a set of solutions, so I will explain what it is about:
Firstly, large AI model tools have cases of "illusions" that everyone can experience, the reasons for this are mainly two:
The data for training AI LLM is not sufficiently complete, although the volume of data is
View OriginalFirstly, large AI model tools have cases of "illusions" that everyone can experience, the reasons for this are mainly two:
The data for training AI LLM is not sufficiently complete, although the volume of data is