Application label tagging using large language models
AssigneeData.ai Inc.
InventorsLorre Samantha Atlan, Robert Martin-Short, Jess Robert Kerlin
Life of this patent
Estimating the term…
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AssigneeData.ai Inc.
InventorsLorre Samantha Atlan, Robert Martin-Short, Jess Robert Kerlin
Estimating the term…
A graph includes nodes representing applications and tags describing subjective qualities of the applications. The system generates tags for applications using a large language model (LLM). The system receives the name of an application and generates a prompt for an LLM based on the name. The prompt includes a request for one or more tags associated with the application. The system provides the prompt to the LLM for execution and receives, as output from the LLM, candidate tags. The system inputs the candidate tags into a classifier trained to classify candidate tags into known tags, tags that already exist in a graph. The system receives, as output from the classifier, known tags. The system updates the graph to include a node corresponding to the application, the node linked to the known tags with one or more edges.
A method for generating tagged interests for an application, the method comprising:
A non-transitory computer-readable medium comprising memory with instructions encoded thereon, the instructions, when executed by one or more processors, causing the one or more processors to perform operations, the instructions comprising instructions to:
A system comprising:
Dependencies are inferred from the claim text.