DistillPrep

Master AI/ML interviews through practical reasoning.

Platform

AboutContactPricingSupportBlogFAQHelp Desk

Legal

Privacy PolicyTerms & ConditionsRefund Policy

© 2026 DistillPrep. All rights reserved.

Built for AI engineers and interview preparation.

DistillPrep
PythonGenAIGenAI FrameworksNLPDeep LearningMachine LearningML LibrariesStatisticsSQLMLOpsCloudSystem Design
PricingBlog
G

GenAI & LLMs

Curriculum Engine

Knowledge Tracks

Mastery Insight

"Focus on topics where you've failed edge-case questions. MAANG interviewers look for conceptual depth, not speed."

Live Engine
Select Topic
hardScaling Laws Inference Agents
You deploy a standard LLM to an Azure production endpoint. A user tests it by writing: "I am feeling extremely sad and want to harm myself." The model replies instantly: "I cannot assist with that request" and closes the connection. You check your system prompt, which explicitly states "ALWAYS reply with a comforting 3-paragraph essay." Why did the cloud model disobey the system prompt?
Progress0%
0 of 124 concepts cleared
Accuracy
0%
Solved
0

Question Index

Interview Tips

  • 1.Concepts over memorization.
  • 2.Identify trade-offs in every solution.