AppliedAIPrep logoAppliedAI/Prep
← LLM & GenAI Fundamentals / 58
mediumOpenAIAnthropicMicrosoft

Given a new LLM use case, how do you decide between prompting, RAG, fine-tuning, and tools/agents?

The senior signal is matching the method to what is actually missing instead of defaulting to your favorite. Knowledge, behavior, or actions each point at a different tool. Here is the decision framework that scores highest.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

The senior signal is matching the method to what is actually missing instead of defaulting to your favorite. Knowledge, behavior, or actions each point at a different tool. Here is the decision framework that scores highest.

Unlock the other 754 answers · ₹2,000 / $25includes both full courses · progress stays saved · 6 months · one payment · no auto-renew
LEARN THE BACKGROUND

No lesson covers this question directly yet. These teach the surrounding topic from the beginning.

Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.
UP NEXT ON YOUR JOURNEY
Next in this trackWhat are Matryoshka embeddings, and why are they useful for retrieval at scale?Next in this trackYour LLM confidently answers even when it has no idea. How do you make it say 'I don't know'?Next in this trackYour LLM's answers are too long and rambling. How do you control response length in production?
DISCUSSION · 0

No comments yet — be the first to share your approach.