Crack Large-Model Interviews: Master Positional Encoding, Residuals, LayerNorm & FFN
Preparing for large-model interview? This guide reveals why interviewers probe seemingly minor components—positional encoding, residual connections, layer normalization, and feed-forward networks—explains each technique's purpose, variants, and how to answer confidently, plus practical tips and a learning roadmap to boost your chances.
