元の名称記録: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

The present disclosure provides a system and a method for vehicle sensor time synchronization, and a field programmable gate array chip, in the field of artificial intelligence, such as sensor, artificial intelligence chip, and autonomous driving. The system for vehicle sensor time synchronization includes: target vehicle sensors and a field programmable gate array chip, the target vehicle sensors include all vehicle sensors in a target vehicle that require a timestamp information to be written; the target vehicle sensors are connected to the field programmable gate array chip, and are configured to send collected sensor data to the field programmable gate array chip; the field programmable gate array chip is configured to write the timestamp information into the sensor data based on a system time of the field programmable gate array chip; wherein the field programmable gate array chip comprises: a system module and a logic module; the system module and the logic module are respectively connected to at least one of the target vehicle sensors based on a principle of load balancing, and are respectively configured to write the timestamp information into obtained sensor data based on the system time.

Provided is a task-oriented dialogue implementation method relating to artificial intelligence fields such as deep learning, large language models, natural language processing and intelligent agents, which can be applied to intelligent interaction scenarios such as intelligent customer service, intelligent outbound calling, and intelligent marketing. The task-oriented dialogue implementation method may include: acquiring a question to be answered; generate an answer corresponding to the question by using a task-oriented dialogue model, the answer is generated by the task-oriented dialogue model according to model configuration information, the model configuration information includes a dialogue flow corresponding to the task-oriented dialogue model, and the dialogue flow is written in text form.

The present application provides a method for generating audio based on large model, an electronic device, and a storage medium, which relates to a technical field of artificial intelligence such as an audio synthesis and a large model. A specific implementation includes: obtaining a character that is generated in real time during a process of generating a text using a large model; obtaining an audio feature of each audio unit of the character sequentially by using a pre-trained audio generation model based on the character; the audio feature of the audio unit is a discretized audio feature, and the character includes audio features of a plurality of different audio units; synthesizing a corresponding audio by using a pre-trained vocoder based on the audio feature of each audio unit.