Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...
In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...
Abstract: Significant advancements in semantic parsing for text-to-SQL (T2S) tasks have been achieved through the employment of neural network models, such as LSTM, BERT, and T5. The exceptional ...
A monolithic Foundation Model compresses the knowledge of the entire network, including Core, RAN, Transport, and Billing, ...
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