Coforge AI Engineer Interview Questions
The questions to prepare for a Coforge AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Design an end-to-end Coforge RAG document retrieval system by first eliciting requirements, then addressing retrieval, ranking, serving, and evaluation.
CoforgeChoose and evaluate a document chunking strategy for embeddings and retrieval in a RAG pipeline.
CoforgeExplain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
CoforgeEvaluates your understanding of vector indexing options and their impact on performance at scale.
CoforgeApproach for monitoring a model in production and spotting drift, threshold issues, and calibration loss.
CoforgeCompute cosine similarity between equal-length numeric vectors using dot products and Euclidean norms.
CoforgeTests your operational and engineering practices for reliable embedding and vector search systems.
CoforgeAssesses your ML workflow for choosing and adapting embeddings to domain needs.
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