Generative AI and Large Language Models Questions
The capabilities and behavior of modern generative and large language models. Covers how LLMs are pretrained, in-context learning and few-shot prompting, generative model families (autoregressive, diffusion), context windows, and tokenization and sampling. Emphasizes understanding what generative models can and cannot do and how they differ from discriminative ML.
No published Generative AI and Large Language Models questions for Engineering Manager yet
This topic is part of the Engineering Manager interview scope, but we have not published questions for it under this role yet. Browse the other topics in this category, or start a practice session to work through it interactively.