NCA-GENM - Core Machine Learning and AI Knowledge - Section 2.2

Describe how transformers function as foundational building blocks for modern LLMs.

Describe the encoder-decoder structure of transformers, including self-attention, feed-forward layers, and positional encodings. Explain how scaling these components produces the emergent capabilities seen in large language models.

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