Interview Vault
Master the technical rounds. Curated questions for AI Engineers.
Medium
TransformerInterpretabilityTheory
How does the attention mechanism help with interpretability?
Hard
Fine-tuningPEFTOptimization
Difference between LoRA and QLoRA?
Medium
Fine-tuningOptimization
Explain PEFT (Parameter-Efficient Fine-Tuning).
Easy
ArchitectureConstraints
What is the Context Window?
Medium
RAGStrategySystem Design
Fine-tuning vs. RAG: When to use which?
Medium
Fine-tuningChallenges
Common problems faced while fine-tuning LLMs?
Easy
EmbeddingsMath
Explain Embeddings and why they are vector plots.
Hard
RAGOptimization
How to optimize a RAG pipeline for better results?
Medium
AgentsDefinitions
Difference between AI Agents and Agentic AI?
Easy
TheoryBasics
Overfitting vs. Underfitting
Easy
MetricsEvaluation
Precision vs. Recall
Hard
Deep LearningArchitecture
RNNs vs. LSTMs vs. Transformers
Medium
OptimizationMath
Explain Gradient Descent.
Medium
DebuggingDeep Learning
How to detect Exploding vs. Vanishing Gradients?
Medium
Data EngineeringProcess
Explain Feature Engineering.
Hard
GenAIComputer Vision
What are GANs (Generative Adversarial Networks)?
Easy
PythonSoftware Engineering
Explain OOP concepts in Python.
Medium
PythonConcurrency
Python Threading vs. Multiprocessing?
Hard
ArchitectureAgentsSQL
Design an AI Agent for E-commerce (SQL + RAG).
Medium
InfrastructureDatabases
Why use Vector DBs instead of standard SQL?
Hard
AgentsLangChain
Building Agentic AI with LangGraph.
Easy
CommunicationBasics