US20250053560
2025-02-13
Physics
G06F16/2423
The proposed system leverages generative AI models to offer real-time assistance to users. It processes user queries, which can include various input types, and provides immediate instructions tailored to the user's needs. The AI model is pretrained with a set of predefined policies specific to an entity, ensuring that the assistance aligns with organizational requirements.
This innovation addresses the growing demand for instant customer support, which traditional methods like phone calls or emails fail to meet efficiently. Existing real-time assistance tools, such as chatbots and live support, often face challenges like technical glitches and lack of personalization. This system aims to overcome these limitations by delivering interactive, multi-modal guidance in real-time.
The method involves receiving a user query related to an activity, processed by the generative AI model in real-time. The model determines the query type and generates instructions accordingly. The system comprises a processor and a computer-readable medium that executes instructions for this process. The AI model is pretrained on entity-specific policies, enhancing its ability to provide relevant assistance.
The generative AI model can be a GPT-3, LLM, GAN, or other advanced models capable of generating content based on input queries. It employs machine learning algorithms to analyze queries and guide users effectively. The model is customized for different industries, adhering to their specific policies for customer service and operational support.
Users interact with the AI model through various devices like smartphones or tablets. The model can be integrated directly into these devices, functioning as a live assistant bot that provides real-time troubleshooting and guidance. This setup ensures that users receive prompt and accurate support tailored to their specific context.