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How to Build a Conversational AI Models? In the View of Training Data

From:Nexdata Date: 2024-08-15

Table of Contents
Reading speech data limitations
Nexdata's natural dialogue speech data
Speech data of Korean and Minnan

➤ Reading speech data limitations

The quality and diversity of datasets determine the intelligence level of AI model. Whether it is used for smart security, autonomous driving, or human-machine interaction, the accuracy of datasets directly affect the performance of the model. With the development of data collection technology, all type of customized datasets are constantly being created to support the optimization of AI algorithm. Though in-depth research on these types of datasets, AI technology’s application prospects will be broader.

➤ Nexdata's natural dialogue speech data
➤ Speech data of Korean and Minnan

End

If you want to know more details about the datasets or how to acquire, please feel free to contact us: info@nexdata.ai.

Data-driven AI transformation is deeply affecting our ways of life and working methods. The dynamic nature of data is the key for artificial intelligent models to maintain high performance. Through constantly collecting new data and expanding the existing ones, we can help models better cope with new problems. If you have data requirements, please contact Nexdata.ai at [email protected].

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