Embeddings are the foundation of modern NLP and retrieval. This tests whether you grasp the distributional idea behind them, not just 'words become vectors.' What matters is how training on context yields geometry that encodes meaning.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Embeddings are the foundation of modern NLP and retrieval. This tests whether you grasp the distributional idea behind them, not just 'words become vectors.' What matters is how training on context yields geometry that encodes meaning.
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