Dynamic creativity shaping in language models
AssigneeIntuit Inc.
InventorsHadas Baumer, Gad Markovits, Shon Mendelson, Kaaleb Edery
Life of this patent
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AssigneeIntuit Inc.
InventorsHadas Baumer, Gad Markovits, Shon Mendelson, Kaaleb Edery
Estimating the term…
At least one processor can receive at least one preliminary response generated by a machine learning (ML) model having a predetermined level of randomness. The at least one processor can determine at least one transformation applying a new level of randomness, different from the predetermined level of randomness, to the at least one preliminary response. The at least one processor can generate at least one modified preliminary response, the generating comprising applying the at least one transformation to the at least one preliminary response. The at least one processor can replace the at least one preliminary response with the at least one modified preliminary response within the ML model, wherein the ML model generates a final response using the at least one modified preliminary response.
A method comprising:
A method comprising:
A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform processing comprising:
Dependencies are inferred from the claim text.