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docs: Tidy spacing/line breaks
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@ -32,8 +32,8 @@ Current LLM inference is dominated by Python/PyTorch, which introduces:
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## Why Zig?
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## Why Zig?
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**Performance**: Zero-cost abstractions, compile-time optimization, direct hardware access
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**Performance**: Zero-cost abstractions, compile-time optimization, direct hardware access<br/>
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**Simplicity**: Single static binary, no runtime dependencies, cross-compilation built-in
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**Simplicity**: Single static binary, no runtime dependencies, cross-compilation built-in<br/>
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**Web-First**: Native HTTP server, WebAssembly compilation, efficient memory management
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**Web-First**: Native HTTP server, WebAssembly compilation, efficient memory management
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## Proposed Architecture
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## Proposed Architecture
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@ -215,6 +215,5 @@ A: Those are inference runtimes, not development frameworks / LLM frameworks. Th
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---
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---
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**Status**: 🎯 Seeking feedback & idea expansion
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**Status**: 🎯 Seeking feedback & idea expansion<br/>
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**Vision**: Foundation for advanced AI reasoning research
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**Vision**: Foundation for advanced AI reasoning research
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