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What are common mistakes to avoid with Building AI Agents with LLMs

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Answer

A common mistake with Building AI Agents with LLMs is applying it without fully understanding the underlying data or problem, which often leads to weak or misleading results. Skipping proper testing before relying on it in a real project is another frequent error.
Real-world example A developer builds a research agent using an LLM combined with a search tool to automatically gather and summarize information on a topic.

Common follow-ups: What is AI Automation & Agents, How is Building AI Agents with LLMs evaluated in practice, What tools are commonly used for Building AI Agents with LLMs

AI Automation & Agents topics: Introduction to AI Agents Autonomous AI Agents Overview Multi-Agent Systems
All 7 Building AI Agents with LLMs questions