Abstract: A method is provided that includes: obtaining current dialogue data; determining a requirement type of the user in the current round of dialogue based on the current dialogue data; in response to the requirement type being an image processing requirement, determining an action sequence for implementing the image processing requirement; executing the action sequence to generate a target image; and generating response data corresponding to the user input data based on the target image.

Abstract: A generative dialog model training method in the fields of artificial intelligence, such as deep learning, natural language processing, intelligent dialogs, is disclosed. The generative dialog model training method may include: in response to determination of an update of a safety specification, taking an updated safety specification as a target safety specification, and determining a dialog input corresponding to a current optimization according to the target safety specification, the update being performed on a previous safety specification when a generative dialog model after last optimization is determined not to meet a launch requirement; and optimizing the generative dialog model according to the dialog input and a principle that a reply generated by the generative dialog model conforms to the target safety specification, the generative dialog model being configured to generate the reply corresponding to the dialog input.

Abstract: A method includes placing a wafer on a wafer holder, depositing a film on a front surface of the wafer, and blowing a gas through ports in a redistributor onto a back surface of the wafer at a same time the deposition is performed. The gas is selected from a group consisting of nitrogen (N2), He, Ne, and combinations thereof.

Abstract: An eyeglass's structure includes a frame, a connecting seat, and a buckle. The frame includes a connection part formed on two sides of the frame separately; the connecting seat corresponding to the connection part has a sliding slot selectively situated in a lock or unlock position; and the buckle is slidably installed in the sliding slot and includes two elastic arms connected to each other and an end pivoted to the connection part. When the buckle is in the lock position, each elastic arm is bound by the sliding slot. When the buckle is in the unlock position, each elastic arm can be elastically deformed by external forces to detach the connection part, so as to achieve the effect of disassembling or assembling the frame quickly.

Abstract: A technical solution for processing a model generation result, which relates to the field of artificial intelligence technologies is disclosed. An implementation includes: disassembling a text generation result of a generative large model to obtain a plurality of result logic units; wherein each result logic unit includes a segment in the text generation result; each segment is capable of independently identifying one premise or conclusion in a logical inference relationship of the text generation result; and the text generation result is a response result generated by the generative large model based on text input information; generating a logical inference graph capable of characterizing a logical inference relationship among the plurality of result logic units based on the plurality of result logic units; and determining whether logical inference of generation of the text generation result by the generative large model is correct or not based on the logical inference graph.

Abstract: The disclosure provides a method for generating a dialogue. The method includes: obtaining an input sentence; determining a type of a task-based response sentence that is to be generated, by updating a current dialogue state based on the input sentence; generating the task-based response sentence by inputting the input sentence into a task-based dialogue response generator; and determining the task-based response sentence as a target response sentence in response to the type of the task-based response sentence being a designated type.

Abstract: The present disclosure provides embodiments of semiconductor devices. In one embodiment, the semiconductor device includes a dielectric layer and a fin-shaped structure disposed over the dielectric layer. The fin-shaped structure includes a first p-type doped region, a second p-type doped region, and a third p-type doped region, and a first n-type doped region, a second n-type doped region, and a third n-type doped region interleaving the first p-type doped region, the second p-type doped region, and the third p-type doped region. The first p-type doped region, the third p-type doped region and the third n-type doped region are electrically coupled to a first potential. The second p-type doped region, the first n-type doped region and the second n-type doped region are electrically coupled to a second potential different from the first potential.

Abstract: Provided are human polyclonal immunoglobulin products specific for influenza hemagglutinin (HA) protein for use in treating or preventing disease associated with an influenza infection. Further provided herein are methods for making such human polyclonal immunoglobulins in a transgenic ungulate, such as, but not limited to, using a transchromosomic bovine (TcB) system.