MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202644010210 A) filed by Abb Schweiz AG on January 30, 2026, for Estimating The Confidence Of The Output Of A Generative Machine Learning Model.
Inventors include Mohamed Elsheikh; Nicolai Schoch; Nika Strem; Katharina Stark; and Mario Hoernicke.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: ESTIMATING THE CONFIDENCE OF THE OUTPUT OF A GENERATIVE MACHINE LEARNING MODEL A computer-implemented method (100) for estimating a level of confidence (4) of a response (3) that an artificial intelligence/machine learning model, AI/ML model (2), delivers in response to a given query (1), comprising the steps of: • obtaining (110) a representation (5) of the query (1) in a working space (6); • determining (120) a closeness (5a) of this representation (5) to one or more reference representations (8) of reference inputs (7) that are known to belong to a domain of validity, DOV (9), of the AI/ML model (2), and/or to this DOV (9) as a whole; • determining (130) the level of confidence (4) based at least in part on this closeness (5a); • and in response to the level of confidence (4) being (160) lower than a predetermined threshold: o obtaining (170) feedback (3a) whether the response (3) provided by the AI/ML model (2) is correct; and o if this feedback (3a) indicates (180) that the response (3) is correct, determining (190) that the representation (5) of the query (3) belongs to the DOV (9), wherein the query (1) relates (105) to at least one property of at least one industrial asset (11) in an industrial plant (10), and/or of an industrial process executed on this industrial plant (10). (Figure 1)
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