Problem
Scenario
You are asked to talk through a project where you applied embeddings or a language model to solve a real text problem. The interviewer wants to hear how you framed the task, built the pipeline, and judged whether the approach was actually useful.
Question
How do you discuss a project where you had to use embeddings or language models?
What This Tests
- Choosing between embeddings, retrieval, and direct language model generation
- Explaining fine-tuning decisions in a practical NLP pipeline
- Describing how you evaluated quality beyond a demo
- Connecting technical work to a business outcome
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