llm basics Interview Questions
The most frequently asked llm basics questions across all roles and companies, ranked by real interview frequency. Updated daily.
Explain how embeddings represent meaning and how vector search retrieves context for LLM applications.
Agility RoboticsCCadence Design Systems
CircanaExplain what an LLM is and how it differs from traditional machine learning models in training, behavior, and typical use cases.
Infosys
Wipro
ByteDanceCompare fine-tuning and RAG for production, including data flow, updates, cost, latency, quality, and safety tradeoffs.
AquentOOpen CosmosCompare ReAct, CoT, and ToT for multi-step LLM tasks, including when to use each and how they differ on reliability, cost, latency, and hallucination risk.
Cohere Technology
AmazonBByteDance/TiktokExplain how temperature and top_p affect LLM output diversity, determinism, and quality.
Hewlett Packard EnterpriseInfosysTTata Consultancy ServicesExplain Transformer architecture, self-attention, positional information, and its practical advantages over recurrent neural networks.
CitiExplain hands-on LLM experience across prompting, RAG, evaluation, safety, and cost-latency tradeoffs.
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Explain LLM fundamentals and connect tokenization, pretraining, prompting, and fine-tuning to practical NLP projects.
Optum