Leverage Mathematics’ Capability to Compress and Generalize as Application of ML Embedding Extraction from LLMs and Its Adaptation in the Automotive Space

Lately, with the public release of Chat GPT-2,3,4 many people agree that not enough attention given to the power and importance of the machinery that Mathematics brings, especially Discrete and Pure Mathematics. From simple ability to capture the essence, capacity to compress the information to its expertise in grasping the representational structure of entities, objects to projection of text blobs into the unified vector space. Mathematics mechanism to generalize can cover as a foundation in making significant progress in the area of AGI (artificial general intelligence), applications of embedding can lead quickly to very short roll out to production environment the varies of recommendation systems.