Implement stable temperature, top-k and top-p sampling with explicit tie rules, masks, invalid inputs and probability tests.
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Implement sampling from a model's logits with temperature, top-k and top-p. What are the numerical traps?
Implement stable temperature, top-k and top-p sampling with explicit tie rules, masks, invalid inputs and probability tests.
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Foundational
Kernel FusionKernel fusion combines operations so intermediate results can stay on-chip. It can reduce memory traffic and launch overhead, but may increase resource pressure.⚡ Kernels & Compilers
Advanced
Tokens, Embeddings and LogitsTrace token IDs, embedding rows and next-token scores. Work out which tensors grow with a batch, when all-position logits waste memory, and why token probabilities do not establish factual confidence.🚀 Inference & Serving🔒 Premium
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Batching Queues and BackpressureA request batcher groups work to reduce processing overhead. Queue bounds, dispatch timing and failure handling keep that efficiency from becoming uncontrolled waiting.💻 Coding for Infra🔒 Premium
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Interval Merging and Utilization LogsInterval merging finds periods of activity and gaps between them. A sweep over start and end events also measures concurrency and utilization.💻 Coding for Infra🔒 Premium
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FEDITOR'S NOTE
Look for correct rank-versus-mass reasoning, numerically stable probabilities and a clearly specified filter and reproducibility contract.
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