You open any explainer on this site, whether it is LLM Concepts: A Deep Dive or Machine Learning System Design 101, and within two paragraphs the vocabulary starts stacking up: loss, gradient, pretraining, scaling laws. This first glossary lesson pins down those model training terms, one or two plain sentences each, so the rest of… Continue reading
Posts Tagged → models
Claude Code Model Config: 4 Ways to Choose the Right Model
Model config in Claude Code controls which AI model answers your prompts, how hard that model thinks, and what happens when the model is overloaded. Getting your model config right means faster responses on simple tasks and deeper reasoning on complex architecture decisions. This guide covers every alias, every effort level, every provider variable, and… Continue reading