Pretraining, scaling, RLHF, and inference — how large language models actually work.
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Understand how LLMs work. Pretraining, next-token prediction, scaling laws, instruction tuning, RLHF/RLAIF, inference, context windows, and text generation strategies.
A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.
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Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.