Salesforce, Inc. (20240303473). 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 20240303473 titled 'SYSTEMS AND METHODS FOR BUILDING A CUSTOMIZED GENERATIVE ARTIFICIAL INTELLIGENT PLATFORM
Simplified Explanation:
The patent application describes a framework for creating a customized generative AI stack using a foundational model like GPT, based on user-defined prompts and domain adaptation.
Key Features and Innovation:
- Customized generative AI stack
- User-defined prompts
- Domain adaptation
- Organization-specific knowledge injection
- Full spectrum of domain-adaptive prompts
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 chat applications that can be tailored to specific domains.
Benefits:
- Enhanced user experience
- Improved efficiency in task completion
- Increased customization options
Commercial Applications: This technology can be used in customer service chatbots, content generation tools, and virtual assistant applications to provide more tailored and efficient services.
Prior Art: Potential areas to search for prior art include AI frameworks, natural language processing technologies, and domain adaptation techniques.
Frequently Updated Research: Stay updated on advancements in AI frameworks, natural language processing, and domain adaptation techniques to enhance the capabilities of this technology.
Questions about Customized Generative AI Stack: 1. How does the injection of organization-specific knowledge improve the performance of the generative AI stack? 2. What are the potential limitations of using user-defined prompts in this framework?
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.
