18745550. GENERATIVE DIALOG MODEL TRAINING METHOD AND APPARATUS AS WELL AS GENERATIVE DIALOG IMPLEMENTING METHOD AND APPARATUS simplified abstract (Beijing Baidu Netcom Science Technology Co., Ltd.)
GENERATIVE DIALOG MODEL TRAINING METHOD AND APPARATUS AS WELL AS GENERATIVE DIALOG IMPLEMENTING METHOD AND APPARATUS
Organization Name
Beijing Baidu Netcom Science Technology Co., Ltd.
Inventor(s)
GENERATIVE DIALOG MODEL TRAINING METHOD AND APPARATUS AS WELL AS GENERATIVE DIALOG IMPLEMENTING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18745550 titled 'GENERATIVE DIALOG MODEL TRAINING METHOD AND APPARATUS AS WELL AS GENERATIVE DIALOG IMPLEMENTING METHOD AND APPARATUS
The abstract describes a method for training a generative dialog model in the field of artificial intelligence, such as deep learning and natural language processing.
- The method involves updating a safety specification, using the updated specification as a target, and determining a dialog input for optimization based on the target safety specification.
- If the generative dialog model does not meet launch requirements, the method reverts to the previous safety specification for updates.
- The model is then optimized based on the dialog input and the principle that the generated reply must adhere to the target safety specification.
Potential Applications: - Chatbots for customer service - Virtual assistants for various tasks - Language translation services
Problems Solved: - Ensuring safety compliance in dialog models - Improving the accuracy and relevance of generated replies
Benefits: - Enhanced user experience with more relevant responses - Increased efficiency in dialog model training
Commercial Applications: Title: "Enhancing Dialog Model Training for AI Applications" This technology can be used in customer service chatbots, virtual assistants for businesses, and language translation services to improve the accuracy and safety compliance of generated responses.
Questions about the technology: 1. How does this method improve the safety compliance of generative dialog models? 2. What are the potential drawbacks of reverting to a previous safety specification for updates?
Original Abstract Submitted
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.
