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LLM Architecture
Inside Mixture of Experts: How Sparse Routing Scales LLMs
How Mixture of Experts scales LLMs without proportional inference cost. Covers routing networks, load balancing loss, expert capacity, and why MoE models behave differently from dense transformers.
LLM Architecture
Inside LLM Training: The Transformer Pipeline Explained
The full LLM pre-training pipeline: tokenization, attention computation, cross-entropy loss, backpropagation, AdamW optimizer, and the architectural choices behind billion-parameter scale.