Abstract: One implementation is directed to implementations of an artificial intelligence (AI) assistant providing in a one-click root cause analysis (RCA). The disclosure provides for receiving a user input via a graphical user interface (GUI) requesting automated performance of a root cause analysis corresponding to an alert due to a triggering event, wherein the triggering event is associated with a time-series data set. A pre-processing may be performed on the time-series data set including performing an anomaly detection and retrieving one or more of traces or logs associated with the time-series data set. A prompt is generated instructing a large language model (LLM) to perform the root cause analysis based on results of the pre-processing and receiving a response to the prompt from the LLM including results of the root cause analysis. The GUI may be revised or updated to display of results of the root cause analysis.

Abstract: One implementation is directed at implementations and deployment of an artificial intelligence (AI) Assistant in an inquiry session with a large language model (LLM). The disclosure provides for appending contextual information to a user input corresponding to a question to be evaluated by the LLM. The user input is received by a graphical user interface (GUI) of a network device of a user. The user input includes the question in the GUI. Contextual metadata are received from content displayed on a display screen of the network device. A prompt for the LLM is generated from the user input and the contextual metadata, and is provided to the LLM. A response is received from the LLM. An answer to the question is displayed in the GUI of the network device of the user.

Abstract: Systems and methods for attribute recommendation are disclosed. Transaction data related a user is received and attribute recommendations for the user are generated based on the transaction data. The attribute recommendations are generated by a variational inference model configured using a transaction matrix and a loyalty matrix. A set of N recommendations is generated by ranking the generated attribute recommendations based on a combined transaction score and loyalty score and a user interface is generated including the set of N recommendations.

Abstract: Systems and methods for attribute recommendation are disclosed. Transaction data related a user is received and attribute recommendations for the user are generated based on the transaction data. The attribute recommendations are generated by a variational inference model configured using a transaction matrix and a loyalty matrix. A set of N recommendations is generated by ranking the generated attribute recommendations based on a combined transaction score and loyalty score and a user interface is generated including the set of N recommendations.

Abstract: A system, method, and non-transitory computer readable medium are provided for tuning sensitivities of, and determining a process window for, a modulated wafer. The sensitivities for dies of the modulated wafer are tuned dynamically based on a single set of parameters. Further, the process window is determined for the modulated wafer from prior determined parameter-specific nominal process windows.

Abstract: A system, method, and non-transitory computer readable medium are provided for tuning sensitivities of, and determining a process window for, a modulated wafer. The sensitivities for dies of the modulated wafer are tuned dynamically based on a single set of parameters. Further, the process window is determined for the modulated wafer from prior determined parameter-specific nominal process windows.

Abstract: A system, method, and non-transitory computer readable medium are provided for tuning sensitivities of, and determining a process window for, a modulated wafer. The sensitivities for dies of the modulated wafer are tuned dynamically based on a single set of parameters. Further, the process window is determined for the modulated wafer from prior determined parameter-specific nominal process windows.

Abstract: A system, method, and non-transitory computer readable medium are provided for tuning sensitivities of, and determining a process window for, a modulated wafer. The sensitivities for dies of the modulated wafer are tuned dynamically based on a single set of parameters. Further, the process window is determined for the modulated wafer from prior determined parameter-specific nominal process windows.

Abstract: A technique to register a roaming cell-phone in a visiting location as a local phone. The technique involves identifying roaming-related information from the roaming cell-phone in the visiting location, and then dynamically configuring the roaming cell-phone to operate as a local cell-phone in the visiting location.

Abstract: A technique to register a roaming cell-phone in a visiting location as a local phone. The technique involves identifying roaming-related information from the roaming cell-phone in the visiting location, and then dynamically configuring the roaming cell-phone to operate as a local cell-phone in the visiting location.