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ML Academy

DL, NLP and LLMs

Interview question

  • stafflevel
  • 30 minsuggested time
  • 2Applied AI, ML engineer

Whiteboard case. An airline's contact centre wants one intent-classification and summarisation capability for customer messages in Turkish, English and a long tail of other languages, replacing separate vendor systems. Design the programme: model choice, data and labels, tokenisation and cost, evaluation per language, rollout and ownership.

Tests: Designing a multilingual NLP capability end to end, with attention to per-language evaluation and cost effects such as tokenisation, instead of one global metric.

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