RAG · 7 min read
LLM Agent Architecture: Interview Answer Framework
A structured framework for answering LLM agent architecture interview questions: ReAct pattern, tool calling, planning algorithms, and memory systems.
RAG · 7 min read
A structured framework for answering LLM agent architecture interview questions: ReAct pattern, tool calling, planning algorithms, and memory systems.
RAG · 6 min read
A structured framework for answering LLM tool calling interview questions: function calling, tool selection, error recovery, and parallel tool execution.
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A structured framework for answering LLM evaluation interview questions: MMLU, HumanEval, MT-Bench, custom evals, LLM-as-judge, and human eval correlation.
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A practical 2026 guide to fine-tuning LLMs for enterprise deployment, covering method selection, evaluation, and rollout.
AI Engineering · 7 min read
A structured framework for answering LLM fine-tuning interview questions, covering LoRA, QLoRA, full fine-tuning, data preparation, evaluation, and when to fine-tune versus prompt.
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How enterprises architect LLM gateways for multi-provider routing, cost control, and governance in 2026.