What's Happening?
A GitHub repository created by Amit Shekhar provides a detailed guide for AI engineering interviews, covering topics such as LLM, RAG, MCP, and agent systems. The repository includes questions and answers
on AI agent evaluation, LLM outputs, and evaluation-driven development for AI applications. It also addresses advanced topics like BLEU, ROUGE, and BERTScore metrics, and discusses the limitations of LLM-as-a-judge evaluation. This resource aims to prepare candidates for technical interviews in AI engineering roles.
Why It's Important?
The availability of a comprehensive AI engineering interview guide on GitHub is crucial for aspiring AI engineers seeking to enter the field. As AI technology continues to evolve, the demand for skilled professionals in this area is increasing. This guide provides valuable insights into the types of questions and topics that candidates might encounter during interviews, helping them to better prepare and increase their chances of success. Additionally, it reflects the growing complexity and specialization within AI engineering, highlighting the need for continuous learning and adaptation.
