LLMs & Prompt Engineering

Test your understanding of large language models and prompt engineering techniques. Covers prompt design strategies (zero-shot, few-shot, chain-of-thought), sampling parameters, tokenization, RAG architecture, fine-tuning vs in-context learning, hallucination mitigation, prompt injection attacks, system vs user prompts, embedding models, and AI safety guardrails.