"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
Implement Single head and Multi head attention in pytorch. A follow up to this was use masking to mask out the later-on tokens. Also asked me to implement KL divergence in python (but maybe this was because I talked about kl-divergence in my projects)
30 mins ML questions regarding the resume, 30 mins LC medium (BFS)
about language models, if know any new LLMs, know transformer, know NLP, know CV, and know about knowledge graph.
Why applying TikTok? Past project deep dive.
What previous ML experience do you have
What is the difference between supervised and unsupervised learning. Give examples.
What does the vocabulary space of a Language Model mean?
structure of Transformers, difference between BERT and RoBERTa, etc
How to identify whether two images are similar?
Faça uma consulta SQL básica.
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