The Foundations of Generative AI
An Illustrated Guide to RNNs, LSTMs, Transformers, GANs, and Diffusion Models.
₹999One-time purchase
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Generative AI Interview Questions
Detailed answers, visual diagrams, and Python examples.
₹999One-time purchase
Fine-Tuning Large Language Models
An Illustrated Guide to Instruction Tuning, Efficient Adaptation, and Research Workflows
₹999One-time purchase
Building RAG from the Ground Up
An Illustrated Guide to Documents, Retrieval, and Reliable Answers
₹999One-time purchase
Building Small Language Models from Scratch
An Illustrated Journey from Stories to Tokens, Transformers, and Training
₹999One-time purchase
Production GenAI Systems
A Practical Guide in Simple English
₹999One-time purchase
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FROM THE READING DESK
What readers are saying.
Selected reader feedback shared with InterviewLeaf.
Cracked my Senior AI Engineer interview using this guide! The practical scenarios on RAG pipeline optimization and fine-tuning techniques like LoRA gave me a massive edge during technical rounds.
Ananya IyerData Scientist, HyderabadMost prep books stick to basic ML, but this one strictly targets modern GenAI. The system design architecture breakdowns for LLM applications were clear, precise, and directly applicable.
Rohan DeshmukhSoftware Engineer, PuneTransitioning into GenAI felt overwhelming until I picked up this book. The Q&A layout breaks down complex topics like vector embeddings, context window limits, and prompt engineering into easy-to-digest answers.
Priya NairAI Solutions Architect, KochiThe section on LLM evaluation metrics and AI guardrails is top-tier. It covers real-world enterprise constraints that engineering managers actually ask about during senior-level interviews.
Vikram PatelTech Lead, Gurugram