Update README.md

README.md

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 <div align="center">
 
-![GambitFlow Banner](https://capsule-render.vercel.app/api?type=waving&color=0:8e44ad,100:2c3e50&height=200&section=header&text=Nexus-core%20CE&fontSize=50&animation=fadeIn&fontAlignY=35&desc=Elite%20ResNet%20Chess%20Intelligence&descAlignY=60)
+![GambitFlow Banner](https://capsule-render.vercel.app/api?type=waving&color=0:8e44ad,100:2c3e50&height=200&section=header&text=Nexus-core%20&fontSize=50&animation=fadeIn&fontAlignY=35&desc=Elite%20ResNet%20Chess%20Intelligence&descAlignY=60)
 
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 ![Architecture](https://img.shields.io/badge/Architecture-ResNet--10-orange)
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 ## 📖 Model Overview
 
-**Nexus-core CE** (Core Edition) is the primary engine of the **GambitFlow** project. It is a deep Residual Neural Network designed to evaluate chess positions with high-level human-like intuition. Unlike traditional engines that use manual "if-then" logic, Nexus-core learned chess strategy by analyzing over **5 million positions** played by elite grandmaster-level players.
+**Nexus-core** (Core Edition) is the primary engine of the **GambitFlow** project. It is a deep Residual Neural Network designed to evaluate chess positions with high-level human-like intuition. Unlike traditional engines that use manual "if-then" logic, Nexus-core learned chess strategy by analyzing over **5 million positions** played by elite grandmaster-level players.
 
 It serves as the static evaluation function (the "Brain") for the GambitFlow search algorithm, providing a numeric advantage score for any given board state.