60 common GenAI interview questions with detailed answers, plus upcoming system design topics
Basic prompting principles, types of prompting, advanced techniques, applications, and risks.
Fine-tuning approaches, PEFT, LoRA, full fine-tuning, when and how to fine-tune.
Evaluation metrics, benchmarks, and best practices for assessing LLM performance.
LLMOps, deployment strategies, monitoring, observability, and lifecycle management.
Transformers, attention mechanisms, diffusion models, and foundational theory.
Smaller models, multimodal architectures, alignment, and emerging paradigms.
Real-world GenAI system design scenarios
Design a search engine that leverages LLMs for understanding and ranking.
Build a scalable, context-aware customer support system powered by LLMs.
System for natural language querying and interaction with structured/unstructured data.
Design an AI copilot that assists users in complex workflows and decision-making.
Custom chatbot for Q/A on text, images, tables, and CSV files.
Automated product description and image generation system for e-commerce.