Explain Transformer Positional Encoding
Company: Cadence
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Overview: This question evaluates understanding of positional encoding in Transformer architectures, including how positional information is integrated into token representations, the distinction between sinusoidal and learned positional embeddings, and the implications for large language models.
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