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ai: grouped-query attention (GQA) — Mistral's KV-cache saver
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demo: full Mistral-style decoder block, end to end on the GPU
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ai: SwiGLU feed-forward block (LLaMA / Mistral)
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ai: RoPE rotary positional embedding (LLaMA / Mistral)
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ai: flash-attention-style online-softmax attention
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crypto: Ethereum keccak256 (domain-byte variant of SHA3-256)
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lang: array-by-reference fn params + void fns; Keccak-f as a module
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crypto: full SHA3-256 hasher (absorb + pad10*1 + squeeze)
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crypto: Keccak-f[1600] permutation (SHA-3 / keccak256 core)
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lang: u64 type + hex literals (unblocks keccak / wide hashing)
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crypto: SHA-256 as a reusable callable module (lib/sha256.clic)
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lang: const global constants (file-scope, constant address space)
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math stdlib: rsqrt sin cos tan atan2 exp2 log2 fract sign trunc
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bmm: batched matmul kernel (multi-head attention primitive)
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Loop iter 31: reduce_max (parallel max reduction), verified
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Loop iter 30: transpose kernel, verified
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Loop iter 29: add CITATION.cff (citable repository metadata)
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Loop iter 28: maxpool2d (CNN pooling), verified
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Loop iter 27: multi-channel conv2d (Cin->Cout), verified
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Loop iter 26: examples gallery (docs/GALLERY.md)
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Loop iter 25: MANIFESTS.md — run-manifest format reference
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Loop iter 24: end-to-end transformer forward pass demo (capstone)
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Loop iter 23: argmax (greedy decode / token selection), verified
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Loop iter 22: SiLU/Swish activation (stdlib), verified
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Loop iter 21: RMSNorm (LLaMA/Mistral normalization), verified
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