How many Synthesia questions are in this list?

39 questions are published in this slice right now (out of 100 requested). More land as our curation team publishes them.

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 Synthesia questions?

Beyond this Top 39 list, the full Synthesia library on Zenaique includes every published question, filterable by format, difficulty, role, and experience level.

Curated · Synthesia

Top 100 Synthesia Interview Questions

Here are the top 39 AI interview questions tagged for Synthesia interviews, sorted by community quality. Each entry links to a detailed answer with explanations, hints, and source-grade follow-ups. See all at this company →

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

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01
When should you fine-tune instead of using RAG?
Short AnswerMedium·Qual 4.6
02
What does bnb_4bit_compute_dtype actually control in a QLoRA config?
Multiple ChoiceEasy·Qual 4.0
03
Alpaca-format examples carry three fields: name them
FlashcardEasy·Qual 4.0
04
Explain what gets quantized the second time in QLoRA's double-quantization step
FlashcardEasy·Qual 4.0
05
Adam optimizer state per parameter: fill in the moment buffers and bytes
Fill in BlankEasy·Qual 4.0
06
lora_alpha in plain English: what role does that scalar play?
FlashcardEasy·Qual 4.0
07
Which of these is actually saved when a fine-tuning checkpoint is written?
Multiple ChoiceEasy·Qual 4.0
08
Why does dropping the EOS token from SFT labels produce a model that never stops generating?
FlashcardEasy·Qual 4.0
09
Base model vs instruction-tuned model: what does the user actually feel?
Multiple ChoiceEasy·Qual 4.0
10
bf16 vs fp16: which one preserves fp32's exponent range?
Multiple ChoiceEasy·Qual 4.0
11
Name the signal early stopping watches, and explain the 'patience' knob
FlashcardEasy·Qual 4.0
12
Fill in the DeepSpeed config keys that select a ZeRO stage
Fill in BlankEasy·Qual 4.0
13
Define the role of a chat template when fine-tuning on (system, user, assistant) data
FlashcardEasy·Qual 4.0
14
Compute the LoRA trainable param count for a 4096x4096 projection at rank r=8
Fill in BlankEasy·Qual 4.0
15
Micro batch vs effective batch in fine-tuning: give the relationship
FlashcardEasy·Qual 4.0
16
Accelerate launch: what does that one CLI actually wire up?
FlashcardEasy·Qual 4.0
17
Fill in the memory delta when a 7B weight tensor moves from fp32 to bf16
Fill in BlankEasy·Qual 4.0
18
Describe the JSON shape of a Claude Opus 4.7 assistant message that calls a tool
Short AnswerMedium·Qual 4.0
19
LoRA vs full FT on 7B + 10k examples: order of magnitude cost comparison
Short AnswerMedium·Qual 4.0
20
Contrast SFT and continued pretraining when adapting a base model to medical text
Short AnswerMedium·Qual 4.0
21
Closed-API fine-tuning in 2025-2026: options and trade-offs vs open-weight FT
Short AnswerMedium·Qual 4.0
22
When is gradient accumulation NOT equivalent to a real larger batch?
Multiple ChoiceMedium·Qual 4.0
23
Why is chat-template integrity the most common 'silent quality killer' in FT?
Short AnswerMedium·Qual 4.0
24
Which of these reduce catastrophic forgetting in practice?
Multi-selectMedium·Qual 4.0
25
DeepSeek-style reasoning distillation: what travels from teacher to student, and what gets cut from the loss?
Short AnswerMedium·Qual 4.0
26
Defend the claim that full fine-tuning still beats LoRA for some 2026 production workloads
Short AnswerMedium·Qual 4.0
27
How do you detect catastrophic forgetting after a domain fine-tune?
Short AnswerMedium·Qual 4.0
28
A DPO run spikes to NaN around step 400 after a clean start: explain the most likely cause
Short AnswerMedium·Qual 4.0
29
Pick the three first things to check when LoRA training loss sits flat from step 0
Multi-selectMedium·Qual 4.0
30
Which signal is the most reliable indicator of catastrophic forgetting?
Multiple ChoiceMedium·Qual 4.0
31
Match each preference-tuning variant to its design choice on noisy labels
Match PairsMedium·Qual 4.0
32
Compare LoRA r=8 vs r=64 on a 13B model on the quality-vs-cost curve
Short AnswerMedium·Qual 4.0
33
Loss spikes the moment warmup ends: which hyperparameter is the prime suspect?
Short AnswerMedium·Qual 4.0
34
Train loss drops while eval loss climbs at step 1200: name it and the standard fixes
Short AnswerMedium·Qual 4.0
35
DataCollator pads to max_length and sets attention_mask = ones: find what breaks
Spot the ErrorMedium·Qual 4.0
36
AdaLoRA: how does adaptive rank allocation across layers work?
Short AnswerHard·Qual 4.0
37
Why does pure long-context FT (without RoPE scaling) fail to extrapolate?
Multiple ChoiceHard·Qual 4.0
38
Extending a 4k-context model to 32k via FT: how RoPE scaling fits in
Short AnswerHard·Qual 4.0
39
Spot the bug: a Llama-3 fine-tune that skips the end-of-turn token
Spot the ErrorHard·Qual 4.0

39 of 100 requested: only 39 published questions tagged for Synthesia so far.

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