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Deep Learning & Generative AI

Generative AI & Large Language Models (LLMs) Interview Questions

Interview questions on Generative AI & Large Language Models (LLMs) Interview Questions.

4 questions

All subtopics LLM Architectures & Foundations Tokenization & Embeddings Attention, KV Cache & Efficient Inference LLM Training & Pre-training Decoding Strategies & Prompt Engineering Fine-Tuning & Model Adaptation RAG & Vector Databases Alignment & Preference Optimization LLM Evaluation & Benchmarking Agents, Tool Use & Memory Multimodal Generative AI LLM Safety & Security LLMOps & Production

Agents, Tool Use & Memory

Q1. How does knowledge graph integration improve LLMs?

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Agents, Tool Use & Memory

Q2. What do you mean by LLM memory, and why is it important?

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Agents, Tool Use & Memory

Q3. What are LLM agents, and how do they extend the capabilities of language models beyond static chains?

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Agents, Tool Use & Memory

Q4. What is the ReAct framework, and how does it enable step-by-step reasoning in LLM agents?

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