How many Short Answer questions are in this list?

50 questions, the highest-rated Short Answer AI interview questions.

Are these real AI interview questions?

Yes. Every question is sourced from real AI interview reports across companies like OpenAI, Anthropic, Google, Microsoft, and Cohere, then reviewed by senior AI engineers for accuracy.

Do these questions come with detailed answers?

Yes. Every entry links to a full answer with explanations, hints, key tradeoffs, and recommended follow-up questions. Most also include difficulty ratings and community quality scores.

How is the ranking calculated?

Questions are sorted by community quality score, with rating count as the tiebreaker, then difficulty (easier first). Quality scores come from interview candidates rating each question after working through it.

Where can I find more Short Answer questions?

Beyond this Top 50 list, the full Short Answer library on Zenaique includes every published question, filterable by format, difficulty, role, and experience level.

Curated · Short Answer

Top 50 Short Answer Interview Questions

Here are the top 50 AI interview questions in Short Answer format, sorted by community quality. Each entry links to a detailed answer with explanations, hints, and source-grade follow-ups. See all in this format →

Sorted by community quality · refreshed as new questions are published.

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01
Explain scaled dot-product attention.
Short AnswerMedium·Qual 4.8
02
Design a RAG evaluation harness, what do you measure and how?
Short AnswerHard·Qual 4.7
03
When should you fine-tune instead of using RAG?
Short AnswerMedium·Qual 4.6
04
Explain why transformers replaced RNNs for language modeling.
Short AnswerEasy·Qual 4.6
05
Describe the typical agent execution loop.
Short AnswerMedium·Qual 4.4
06
Name a 2026 task where an encoder-decoder transformer still beats a decoder-only LLM
Short AnswerEasy·Qual 4.0
07
Name two situations where Flat brute force search is still the correct production choice in a 2026 vector pipeline.
Short AnswerEasy·Qual 4.0Pinecone
08
Why does streaming (SSE) improve perceived latency without changing total decode time?
Short AnswerEasy·Qual 4.0
09
Pretraining vs fine-tuning: two key differences in data and objective.
Short AnswerEasy·Qual 4.0
10
What would break if you tokenized a Llama prompt using tiktoken's cl100k_base instead of the Llama tokenizer?
Short AnswerMedium·Qual 4.0
11
Name the architectural shifts vLLM v1 made relative to v0
Short AnswerMedium·Qual 4.0
12
Explain the M×N integration problem that MCP solves and why the framing matters
Short AnswerMedium·Qual 4.0
13
LoRA vs full FT on 7B + 10k examples: order of magnitude cost comparison
Short AnswerMedium·Qual 4.0
14
Why is batching the single biggest throughput lever for LLM decode?
Short AnswerMedium·Qual 4.0
15
When would you need the offset_mapping feature that HuggingFace fast tokenizers provide?
Short AnswerMedium·Qual 4.0Hugging Face
16
Prefix-cache hit lands on a request: does speculative decoding still help that request?
Short AnswerMedium·Qual 4.0
17
Why is 'reduce FLOPs to speed up decode' the most common beginner misconception in LLM serving?
Short AnswerMedium·Qual 4.0NVIDIA
18
Why does prefill saturate compute while decode is bottlenecked on memory bandwidth?
Short AnswerMedium·Qual 4.0NVIDIA
19
For a 64-Q-head model with GQA group size G=8, how many K/V heads exist and what is the cache reduction vs MHA?
Short AnswerMedium·Qual 4.0
20
How does a Vision Transformer turn an image into a sequence, and what mask runs over it?
Short AnswerMedium·Qual 4.0
21
Three concrete situations where fine-tuning is the wrong tool
Short AnswerMedium·Qual 4.0
22
Explain attention as content-addressable memory. Where does the analogy hold and where does it break?
Short AnswerMedium·Qual 4.0
23
How do you detect catastrophic forgetting after a domain fine-tune?
Short AnswerMedium·Qual 4.0
24
What events must be logged in every agent execution trace for debugging to be tractable?
Short AnswerMedium·Qual 4.0Databricks
25
Same block, two regimes: training parallelism versus inference autoregression
Short AnswerMedium·Qual 4.0
26
Sketch a Llama 3.1 70B self-host versus hosted-API break-even on the back of an envelope
Short AnswerMedium·Qual 4.0
27
Describe two automated hallucination detection techniques and their tradeoffs
Short AnswerMedium·Qual 4.0
28
Why are output tokens typically 3-5× more expensive than input tokens?
Short AnswerMedium·Qual 4.0AnthropicOpenAI
29
Walk through how a prefix-cache hit changes the work that chunked prefill has to do
Short AnswerMedium·Qual 4.0
30
A production model has no ground-truth labels on live traffic. Design a monitoring plan that catches degradation before users complain.
Short AnswerMedium·Qual 4.0
31
A distilled model hits 92% on a public benchmark but 31% on an internal hold-out: diagnose.
Short AnswerMedium·Qual 4.0
32
Closed-API fine-tuning in 2025-2026: options and trade-offs vs open-weight FT
Short AnswerMedium·Qual 4.0
33
Llama-4 fine-tune shipping to 800M MAU: which license clause must the team re-read?
Short AnswerMedium·Qual 4.0
34
What UX patterns help users make informed MCP approval decisions without approval fatigue?
Short AnswerMedium·Qual 4.0Cursor
35
Design a fine-tune that teaches a model to refuse when the retrieved context lacks the answer.
Short AnswerMedium·Qual 4.0
36
How is a RAG vector store used as an external long term memory layer inside an agent?
Short AnswerMedium·Qual 4.0
37
Memory creeps up for hours then OOMs at 3am: diagnose the KV-cache leak pattern
Short AnswerMedium·Qual 4.0
38
How does a chain-of-thought judge differ from a direct-score judge, and when is each better?
Short AnswerMedium·Qual 4.0
39
Explain LIMA's Superficial Alignment Hypothesis and what it implies for your data budget
Short AnswerMedium·Qual 4.0
40
What does the first forward pass set up that the second one doesn't pay for?
Short AnswerMedium·Qual 4.0
41
Decoder-only LLMs ship without a cross-attention sub-layer, so where does the context go?
Short AnswerMedium·Qual 4.0
42
How do online (interactive) and offline (batch) inference workloads differ in optimization target?
Short AnswerMedium·Qual 4.0
43
How do you evaluate a customer service chatbot that handles multi-turn conversations? What dimensions matter?
Short AnswerMedium·Qual 4.0
44
Describe a concrete, production runnable mechanism to detect hallucinations in a RAG answer (claims unsupported by the retrieved chunks), as the answer is generated or just after.
Short AnswerMedium·Qual 4.0Perplexity
45
What is GGUF and how do llama.cpp / mlc-llm enable on-device inference where vLLM cannot run?
Short AnswerMedium·Qual 4.0
46
Explain when an architecture uses cross-attention vs self-attention. Give concrete examples.
Short AnswerMedium·Qual 4.0
47
Explain the structural reason BLEU fails for open-ended LLM evaluation
Short AnswerMedium·Qual 4.0
48
Describe three patterns for inserting human approval into an agent workflow and their tradeoffs
Short AnswerMedium·Qual 4.0Anthropic
49
Name two production KV-cache eviction policies and what each prioritizes
Short AnswerMedium·Qual 4.0
50
Compare OpenAI function calling, Anthropic tool use, and ReAct free-form text as agent tool-invocation mechanisms
Short AnswerMedium·Qual 4.0OpenAI

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