Automated Configuration of Predictive Analytics Using Neural Language Models
AssigneeSap SE
InventorsVishnu Priya Ravichandiran, Arun Srinivasan, Gayathri Rengarajan
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AssigneeSap SE
InventorsVishnu Priya Ravichandiran, Arun Srinivasan, Gayathri Rengarajan
Estimating the term…
A computing system leverages large language models to automate the configuration and execution of predictive analytics techniques. The system receives input identifying a data set and generates prompts to extract necessary information from predictive analytics documentation, or a representation thereof. The large language model processes requests to generate commands to create computing objects for use in carrying out the predictive analysis, as well as to configure procedures for executing the selected predictive analytics technique. The system helps ensure data set compliance with prerequisites of a predictive analytics technique by generating and executing code to preprocess the data. Similarity searches can be performed in a vector database to identify relevant predictive analytics techniques and their requirements. The system supports both user-specified and automatically identified predictive analytics techniques.
A computing system comprising:
A method, implementing in a computing system comprising at least one hardware processor and at least one memory coupled to the at least one hardware processor, the method comprising:
One or more non-transitory computer-readable storage media comprising:
Dependencies are inferred from the claim text.