LLM Applications Skills Tests

LLM Applications — Beginner

LLM basics: tokens, temperature, context window, hallucinations, system prompts, RAG/embeddings intro, few-shot, rate limits, and safety.

LLM Applications — Intermediate

RAG chunking/retrieval, prompt injection, tools, structured outputs, evals, hybrid search, cost/latency, memory, guardrails, and faithfulness.

LLM Applications — Advanced

RAG failure modes, agents/tools, LLM-as-judge caveats, jailbreaks, RAG vs fine-tune, KV cache, semantic cache, ACL retrieval, speculative decoding, and SLOs.