Abstract: Disclosed in embodiments of the present invention are a processing method and apparatus based on an interest tag, a device, and a storage medium. The method comprises: in a process of displaying an information flow in a preset application program, detecting that an interest tag display event is triggered; and displaying a first page, and dynamically switching and displaying, in the first page, different subsets in a preset interest tag set, wherein the number of interest tags in the subsets is more than one and is smaller than the total number of interest tags in the preset interest tag set.

Abstract: The present disclosure relates to a field of dry etching technology. The present disclosure provides an ultra-large area scanning reactive ion etching machine and an etching method thereof. The ultra-large area scanning reactive ion etching machine includes: an injection chamber, an etching reaction chamber, a transition chamber, and an etching ion generation chamber. By moving a sample holder among the injection chamber, the etching reaction chamber and the transition chamber in a scanning direction, a scanning etching is performed on a sample placed on the sample holder, which may realize a large-area, uniform and efficient etching.

Abstract: The present invention, as a first quality validation solution for chatbots, includes a system and a method for testing chatbots especially intelligent chatbots. It is built-in with innovative testable NLP and machine learning models supporting real-time chats between clients and the system with quality evaluation metrics.

Abstract: A method and a system are provided of testing AI applications/systems on a System for testing one or more artificial intelligence System (STAIS) connectable to under-test AI systems (UTAIS) via the AI test connectors/interfaces through AI test platform. The method includes test modeling, data preparation, testing script generation, testing automation, and quality assurance. The system automatically identifies, analyzes, and displays all quality issues of UTAIS.