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Home/2025

Year: 2025

Retrieval-Augmented Generation (RAG) models combine a retrieval component—often a vector‐based search over an external knowledge source—with a generative language model. The basic RAG pipeline is: Query encoding & retrieval Cross-correlation among retrieved contexts Generator conditioning Why cross-correlation matters in RAG Reducing redundancy: When multiple retrieved chunks say the same thing, naive concatenation wastes tokens. Cross-correlation …

As we look toward the future, it's clear that our energy systems must evolve. We are in the midst of a transition away from the traditional, combustion-based methods of power generation that have dominated for centuries. This shift isn’t just a matter of technological innovation; it is a necessary adaptation to the changing needs of …

The product of 7th in a series of conversations between me and my AI powered self. In an era of rapid technological advancement and shifting geopolitical dynamics, the future of humanity seems poised for transformation. Central to this vision is the inevitability of evolution, both on a personal and societal level. At its core, evolution …

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