How would you adapt a pre-trained model to a domain-specific task?
What strategies can be used to adapt LLMs to a specific use case?
Can you explain the key technologies and principles behind LLMs?
What are the applications of Generative AI in finance?
What are pretrained models, and how do they work?
How do you prepare and clean data for training a generative model?
What are the ethical considerations in deploying Generative AI solutions?
What are the key steps involved in fine-tuning language models?
What is the role of vector embeddings in Generative AI?
How do you implement beam search for text generation?
How do you prioritize tasks in a Generative AI project?
This list covers a wide spectrum of topics, ensuring readiness for interviews in Generative AI roles.
How do you ensure collaboration between data scientists and software engineers?
What distinguishes general-purpose LLMs from task-specific and domain-specific LLMs?
What steps are involved in defining the use case and scope of an LLM project?