concept:quantization
Quantization
Quantization in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Frontier architectures & efficient inference
Continuous batching and speculative decoding
Throughput techniques earn their place only when they improve completed requests—not merely scheduled tokens.
Frontier architectures & efficient inferenceDistributed and MoE inference
Distributed inference is constrained by the slowest communication or routing boundary, not by the sum of advertised compute.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.