What is incremental loading?
Machine Learning / AI
What is AutoML and what tasks does it automate?
Do you mind if we start with clarifying questions about your resume?
What are DINO and DINO-v2?
What are the features of job and resume ranking?
How do two-stage detectors differ from single-stage detectors in architecture, speed, and quality?
Would you prefer to stay with Node.js and React, or are you open to another stack (in the context of ML)?
Was the data stored in a flat table? Did you develop features yourself or did someone do it for you?
What is prompt injection and what attacks have you seen in practice?
What is the complexity of the proposed solution with character removal and reversal? Can the algorithm be improved?
What is RLHF? Describe the three stages of training.
How to deal with class imbalance?
How were data extracted from PDF documents for the RAG system?
How was the inference of LLM (DeepSeek R1 33B) organized? How many GPUs, and how was parallelization handled?
What physical types of connections (joints) exist at the physical level?
Why is RAG better than fine-tuning for a QA task on internal documentation?
What is CUPED and how does it reduce variance?
Besides F1 and recall, what metrics were used to evaluate the classifier?
How to determine whether a task is classification, regression, or matching?