Oct. 9, 2023, noon | code_your_own_AI

code_your_own_AI www.youtube.com

Multi-AI Agent systems like Microsoft's AUTOGEN show reduced validation performance with external document stores via RAG (Retrieval Augmented Generation). A Gedankenexperiment explains the superpositions of states and the growing de-coherence of mathematical vector spaces of AI vector databases and LLMs, given continuous data input streams.

I present a simple topological solution to re-establish coherence of operational spaces for AI validation.

Notice that this is an quantum analogon. I include an outlook for quantum computing and Quantum-LLM systems with external data …

autogen continuous data databases document llms microsoft performance quantum rag retrieval retrieval augmented generation show simple solution spaces systems validation vector vector databases

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