Generative AI Interview Interview Questions, LLMs, RAG, AI Agents, System Design, and Real-World Scenarios
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- Englisch ausgewählt
44,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
29.09.2026
Verlag
Amazon Digital Services LLC - KdpSeitenzahl
492
Maße (L/B/H)
27,9/21,6/2,5 cm
Gewicht
1129 g
Sprache
Englisch
EAN
9798177898025
Prepare for Generative AI interviews with a guide that connects core concepts to real-world system design.
Generative AI Interview takes you from transformers and the LLM lifecycle to building, evaluating, securing, and operating AI applications. It is designed to help you explain both how a system works and why you would choose one design over another in an interview.
Across 25 chapters, you'll explore:
LLM foundations: tokens, attention, training, instruction tuning, model selection, and adaptation with LoRA and QLoRA
Application development: prompt design, APIs, tool calling, structured outputs, testing, and responsible AI
RAG systems: embeddings, vector search, hybrid retrieval, reranking, data preparation, evaluation, troubleshooting, and enterprise access controls
AI agents: planning, memory, orchestration, recovery, secure tool integration, and Model Context Protocol (MCP)
Production engineering: inference latency, scaling, cost control, observability, versioning, and incident response
The final section brings these topics together through a system design framework and architecture scenarios, including enterprise knowledge assistants, customer support copilots, document analysis platforms, coding assistants, and multimodal applications. You'll also work through reliability, security, and cost scenarios that reflect the decisions engineers face in production.
Interview questions and answers appear throughout the book, followed by role-based questions and mock interviews for Generative AI Engineer, LLM Engineer, RAG Engineer, AI Agent Engineer, AI Platform Engineer, and Generative AI Architect roles. A glossary and architecture and evaluation quick reference support your final review.
Whether you are preparing for an implementation interview or a senior system design discussion, this guide helps you build clear, technically grounded answers to Generative AI questions.
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