Research
Long-form notes on FHE / ZKP / PQC hardware, cryptography, and the math underneath.
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The four parts of a transformer — embedding, attention, MLPs, and unembedding — worked through with GPT-3's numbers, accounting for all 175 billion parameters.
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Tensor product is a good and powerful way to describe and analyze NTTs. This note gives the basics on using tensor product to present NTT and derive the famous constant-geometry using this presentation.