What is NSP (next sentence prediction) and why did RoBERTa abandon it?
Machine Learning / AI
What is embedding?
How to organize containerization and deployment of models?
Is it better to store model weights in a Docker image or load them separately?
Why does ROC AUC not depend on the threshold cutoff, while Precision does?
Which is preferable from a computational graph perspective — dynamic or static?
Have you worked with Apache Spark?
What types of table scanning exist?
Why can't all problems be solved using classical methods?
What are the tasks in music information retrieval (MIR)?
What is the difference between supervised and unsupervised learning tasks?
What is the RAG evaluation framework (Ragas, TruLens)?
How is the text presented for the neural network?
What is Mask2Former and its query-based approach?
What methods for combating overfitting exist and how do they work?
What types of JOINs exist in SQL and how do left join, right join, and inner join differ?
How to track changes in business attributes in already loaded data?
What is semantic search vs lexical search?
What is a surrogate key?
How to balance the response speed of the model and the size of the model?