How many people were in the project team?
Machine Learning / AI
How was BERT trained? What are MLM and NSP?
How is A/B testing conducted?
Tell us about the project for evaluating dispatcher performance: what models were used, how were they compared with the reference script?
What is data drift?
What are the methods of regularization? The pros and cons of each, areas of application.
When is MAB better than A/B, and when is it worse?
Are strings in Python mutable or immutable?
What is sliding window attention?
How does the LightFM algorithm work?
How do decision trees work?
What is diffusion-based super resolution?
What are diffusion audio models (AudioLDM)?
How is a random forest structured and what are its advantages and disadvantages?
If execution changes the state but the LLM does not see it, how are the state and metadata technically updated?
What is an endpoint in integrations?