How should you switch up the interview style to really evaluate for AI skills? When it comes to AI skills, the traditional interview questions won't get to the root of the skill set you should be looking for. In this article, we discuss how talent evaluation will change when it comes to assessing AI skills that will make an impact. To start, here are some of the top questions that can be effective in assessing AI skills for an AI engineer: 1. Explain how you decide which model architecture to use for a new problem. 2. What causes hallucinations in LLM-based applications and how do you mitigate them? 3. Describe the steps in building a full ML pipeline from data to deployment. 4. What tools and practices do you use to track experiment results and model versions? 5. Describe a time you debugged unstable training. What were the symptoms and root cause? Continue reading for more insight: https://buff.ly/AornfU2 #AIskills #AIevaluation
Assessing AI Skills: New Interview Questions for AI Engineers
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