How to Crack Generative AI Interviews: A Comprehensive Guide

Image: Depiction of Interview Preparation (Generated using DALL. E3)

Generative AI is one of the most sought-after fields in artificial intelligence, and cracking interviews in this domain requires a deep understanding of both foundational AI concepts and practical applications. Below is a structured guide to help aspiring candidates ace their Generative AI interviews.

1. Key Generative AI Concepts and Terminologies

Understanding the right terms is crucial for speaking the language of AI fluently. Here’s a list of must-know concepts:

• Transformer Models: Learn how models like GPT, BERT, and Vision Transformers (ViT) function.
• Latent Space: Understand the role of latent variables in generative models like Variational Autoencoders (VAE) or GANs.
• Diffusion Models: Know how they generate high-quality images, e.g., Stable Diffusion or DALL·E.
• Reinforcement Learning with Human Feedback (RLHF): Grasp how models like ChatGPT are fine-tuned.
• Attention Mechanisms: Study self-attention and cross-attention in transformers.
• Prompt Engineering: Techniques for creating effective prompts to achieve desired outcomes.
• Fine-Tuning vs. Prompt-Tuning: Understand how pre-trained models are adapted…