Thakuriaditya·Oct 16From Token IDs to Vectors: How Embeddings Actually WorkAn intuitive guide to embedding matrices, vector spaces, and how an LLM turns a sentence into numbers it can learn from.
Nitish K. Yadav·Aug 2060 Days to IIT PhD: My AI/ML & NLP Preparation Journey — Day 2Day 2 — Vector Spaces, Linear Independence, Span, Basis and Dimension
Sandeep Pula·Jun 10Rethinking RAG: What if knowledge was navigated instead of retrieved in vector space?Over the past few years, I’ve been spending a significant amount of time working with Retrieval-Augmented Generation (RAG), vector…
asMifiChen·Apr 3The Anatomy of “Digital Emotions”A Dialogue on High-Dimensional Mappings and the Turing Brain
InBang-i PhilosophybyMaster Bang-i Kim Won-jung·Mar 4[Ep 5/8]AI Is Not a MachineDimensional Integration Science by Master Bang-i
Vishal Gimhan·Feb 4Brute Force KNN and Linear Complexity in Vector Search #VD03In the previous few articles, we covered what Vector Embeddings are, how to obtain them, and various similarity metrics used to compare…
Raffaele Antonio Spezia·Jan 25From Inference to the Axis MundiA Theory on the Vectorial Structure of Good and Evil Emerging from the Analysis of Thinking Machines
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