GAN stands for Generative Adversarial Network. It is a deep learning model where two neural networks (a Generator and a Discriminator) compete with each other. The Generator creates synthetic data, and the Discriminator distinguishes real and fake data, which leads to more realistic outputs.

LLM stands for Large Language Model. It is a type of deep learning model with innumerable parameters that can understand, create, and manipulate human language. In data science, large language models are leveraged for various tasks like NLP (natural language processing), sentiment analysis, text generation, and extracting info from text data.

Data analysts emphasise identifying trends, describing historical data, and creating reports. On the other hand, data scientists leverage advanced statistical and ML techniques to analyse complex sets of data, create predictive models, and pull out invaluable insights for businesses.

The salary of GenAI data scientist depends on the experience, location, and company. However, the average GenAI data scientist salary is ₹38.1 lakhs per year in India.

Yes, GenAI or Generative AI is an integral part of data science. Gen AI is among the AI tools for data science that provide advanced techniques for data integration, augmentation, and development of innovative AI applications. GenAI leverages data science principles to create generative models.