Speculative Decoding in LLMs
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How a cheap draft model and a fast verification pass can deliver full-quality output at a fraction of the latency.
Pillar 01
Architectures
From the math of attention to the geometry of latent spaces — visual deep dives into the architectures powering modern AI.
Speculative Decoding in LLMs
Diffusion Models, Demystified
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Forward noising, reverse denoising, classifier-free guidance, and where latent diffusion fits in.
Mixture of Experts Routing
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Top-k gating, load balancing losses, and why MoE wins at scale.
State Space & Linear Attention
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Mamba, RWKV, and the post-quadratic frontier of sequence modeling.