docs: address 'why not just use llama.cpp?' feedback#38
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Reddit feedback (Eyelbee, 5 upvotes): feature tables don't convince users who know llama.cpp. Added scenario-based comparison showing where the single-header approach matters in practice: - WASM: 192 KB vs GGML tensor graph too large - Microcontroller: #include only option (no FS, no linker) - Game engines: one .h vs 250K LOC build integration - Teaching: readable in an afternoon Includes side-by-side build commands (cc app.c -lm vs cmake + link). Explicitly recommends llama.cpp for GPU speed and model coverage. Applied to both EN and KO READMEs. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Reddit feedback from u/Eyelbee (5 upvotes): "It is very easy to ship embedded apps with llama.cpp. Don't really understand the point of yours."
Feature tables don't convince. Added scenario-based differentiation:
cc app.c -lmvs cmake+link)🤖 Generated with Claude Code