LLM (Large Language Model)

In recruiter context

If you're applying for any AI Engineer or ML Engineer role in 2026, expect interview questions about LLM behaviour, evaluation, and production deployment. The role is increasingly defined by which side of an LLM you operate on: AI Engineers integrate them via API and build features; ML Engineers train, fine-tune and deploy them. Understanding what an LLM is, how it generates output (next-token prediction over learned probability distributions), and where it fails (hallucination, prompt injection, context-window limits) is now baseline literacy for technical roles, and increasingly for AI Product Manager interviews too.