Salesforce, Inc. (20240303443). SYSTEMS AND METHODS FOR BUILDING A CUSTOMIZED GENERATIVE ARTIFICIAL INTELLIGENT PLATFORM simplified abstract
Contents
SYSTEMS AND METHODS FOR BUILDING A CUSTOMIZED GENERATIVE ARTIFICIAL INTELLIGENT PLATFORM
Organization Name
Inventor(s)
Na (Claire) Cheng of Yarrow Point WA (US)
Jayesh Govindarajan of Palo Alto CA (US)
Zachary Alexander of Berkeley CA (US)
Shashank Harinath of Mountain View CA (US)
Atul Kshirsagar of San Ramon CA (US)
Fermin Ordaz of Livermore CA (US)
SYSTEMS AND METHODS FOR BUILDING A CUSTOMIZED GENERATIVE ARTIFICIAL INTELLIGENT PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303443 titled 'SYSTEMS AND METHODS FOR BUILDING A CUSTOMIZED GENERATIVE ARTIFICIAL INTELLIGENT PLATFORM
The abstract describes a framework for creating a customized generative AI stack based on user-defined prompts, natural language descriptions, and domain adaptation.
- The innovation allows for injecting organization-specific knowledge into the AI stack.
- The technology supports a full spectrum of domain-adaptive prompts for personalized AI chat applications.
Potential Applications: This technology can be applied in various industries such as customer service, content generation, and virtual assistants.
Problems Solved: This technology addresses the need for personalized and adaptive AI solutions in different domains.
Benefits: The benefits of this technology include improved user experience, increased efficiency, and tailored AI solutions for specific tasks.
Commercial Applications: This technology can be used in customer service chatbots, content creation tools, and personalized virtual assistants to enhance user interactions and productivity.
Questions about the technology: 1. How does this technology improve upon existing generative AI models? This technology allows for customization and domain adaptation, making it more versatile and effective in various applications.
2. What are the potential limitations of injecting organization-specific knowledge into the AI stack? Injecting organization-specific knowledge may require additional resources and expertise to ensure accurate and relevant information integration.
Original Abstract Submitted
embodiments provide a generative ai creation framework to a customized generative ai stack using a foundational model (such as gpt) based on user-defined prompts, a natural language description of the task to be accomplished, and domain adaptation. in one embodiment, organization-specific knowledge may be injected into either the prompt and/or the foundational model. in this way, the customized generative ai stack thus supports a full spectrum of domain-adaptive prompts to enable a full spectrum of personalized and adaptive ai chat applications.
