Can you explain the theoretical differences between LoRA and QLoRA, and provide a detailed, step-by-step guide — including code — for fine-tuning a large language model with each approach, highlighting trade-offs in performance, memory efficiency, and deployment considerations?
Define how does Transformer work.
about previous projects and knowledge about deployment , Python and SQL
Parler du projet que vous avez fait dont vous êtes le plus fier.
Describe an algorithm that does sorting.
R2. String manipulation + Pandas DF manipulation R3. NLP problem basic level
Different ML models and what's the best for image analysis
It is related to DSA in ist online test then in live code interview you can expect any dataset they gave ask you to achieve required accuracy in 20 min. In last step you need to complete take home project in given time if you do it by yourself then you can clear their last phase
To reduce a time complexity of an algorithm
Basic ML interview theory questions
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