Instruction: Discuss the key features of the Transformer architecture and how it has impacted the development of LLMs.
Context: This question probes the candidate's understanding of the Transformer architecture's pivotal role in LLM advancements, focusing on its unique features like self-attention mechanisms.
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The way I'd explain it in an interview is this: The transformer architecture was the key enabler for modern LLMs because it made large-scale sequence modeling both effective and parallelizable. Self-attention let models capture richer context relationships than many earlier sequence architectures,...