inference
3 lessons tagged inference: free, quiz-checked micro-lessons.
LLM Inference Internals: KV Cache, Sampling, and Serving at Scale
A deep dive into how large language models actually run in production — why prefill is fast and decode is slow, how the KV cache works, sampling strategies like temperature and top-p, speculative decoding, and continuous batching with vLLM.
LLM Scaling Laws: From Kaplan to Chinchilla and Beyond
How two landmark papers — Kaplan et al. 2020 and DeepMind's Chinchilla 2022 — rewrote our understanding of compute-optimal training, why the industry now deliberately overtrains models, and how inference costs flip the math entirely.
Bayesian Inference
Understand what it really means to update beliefs with data. Derive Bayes' theorem from first principles, dissect the roles of prior, likelihood, posterior, and evidence, work through a complete Beta-Binomial conjugate example numerically, and see why the base-rate fallacy trips up even experts.