Knowledge-driven automation platform to connect, contextualize, and control artificial intelligence technologies including generative ai representing a practical implementation of neuro-symbolic ai

This invention describes a software system that acts as a middleman between users or other systems and various artificial intelligence technologies, including generative AI. It uses an automation platform to add context and knowledge to these interactions, aiming to improve how the AI processes requests and the quality of its responses. Specifically, it determines actions by translating descriptive tags into numerical representations (embeddings) and then ranking them to select the most appropriate single action.

Why it matters: Since 2024, the capabilities of generative AI models have continued to advance rapidly, making their outputs more reliable and versatile. Concurrently, the development of robust AI orchestration frameworks and tools has significantly simplified the integration and contextual grounding of these models, making the practical implementation of such a system more achievable and impactful.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedAI integration, software logic, embeddings, ranking algorithms

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