1. When will a complex neural network model behave the same as a linear model?
2. How does regularisation help in linear regression?
3. Explain how encoder(BERT), decoder(Transfomers), GPT3 model works. What is exactly does the input goes in encoder and decoder, how it is processed and what output do you get. Explain in detail.
4. Some of the metrics that can be used to evaluate the LLMs when we don't have the targets.
4. Explain PCA and LDA in detail, how they work.
5. Explain TF-IDF and gave a question to solve on this
6. Simple array manipulation question.
7. One SQL question(Moderate level)
