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Spider Is topped by DIN-SQL two aspects have not been explored in the mentioned model namely. DB content used and DSP. Implementation of the mentioned features in DIN-SQL may present substantial improvement in the test score.
Colab Notebook. This is the current Notebook in which the work is being pursued.
The text was updated successfully, but these errors were encountered:
A breakdown of the DIN SQL model has been prepared and added to the notebook
Literature review of the DIN SQL paper has been made & a PR will be made soon to add the information
Problems encountered:
The model can not be shifted to gpt 3.5 to reduce the cost and time as tokens become the bottleneck
Cannot figure out how "db content used", can be used in this model.
Scope of Improvement:
The DIN SQL model does not have prompts for extra hard questions, they need to be framed and added specifically to the model
Ways to add DSP need to be explored
Papers: Link The following paper talks about QA on knowledge database, This can be useful to understand how to implement DSP on DIN SQL (Nothing of substance was found)
Spider Is topped by DIN-SQL two aspects have not been explored in the mentioned model namely. DB content used and DSP. Implementation of the mentioned features in DIN-SQL may present substantial improvement in the test score.
Colab Notebook. This is the current Notebook in which the work is being pursued.
The text was updated successfully, but these errors were encountered: