How do you implement a transformer model from scratch for a specific NLP task?

Instruction: Discuss the key components and steps involved in implementing a transformer model, including attention mechanisms, positional encoding, and layer normalization.

Context: This question assesses the candidate's deep understanding of the transformer architecture and their ability to implement it from the ground up for a specific NLP application.

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I would start by scoping the task, tokenization, architecture size, training objective, and data pipeline before writing layers...

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