Describe a VAE in detail Describe Attention and Seq-2-Seq modelling in detail Describe how you would combine the two above to obtain a text to speech generation pipeline Describe Neural Processes paper in detail. Questions about Stochastic Processes and benefit of moving to neural processes. ELBO derivations/summary. How to align text sequence to sequence of phonemes (different lengths)
have experience with large language model.
We spent some short time in discussing resume projects. But then we spent the rest of time discussing a single ML model in depth. From data formulation, processing to how the model works to regularization methods. So I say you have to at least review the models to a complete graphic level and shallow-ish math equation level in order to answer the questions. (BTW the interviewer will expect a "correct" answer) How Linear regression works? How are the weights updated? How by adding a regularization term can reduce overfitting? (Think mathematically) And questions like how to deal with imbalanced labels? (I provided 2 solutions but the interviewer was expecting something else, and honestly we don't learn that in graduate school...)
What is activation layer? Questions from your project.
Homework test on named entity recognition. Python round on generators, decorators, slicing, problem using list of maps, list comprehensions.
Given take home assignment to do in 4 hours.
Replace a string with multiple spaces with single space.
What is DevOps from non-technical point of view but philosophical?
Willing to come in one time a week to the campus for lunch with mentors
Lots of questions about resume projects and experience.
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