What is Generative AI?

Back in Chapter 1, Identify Features of Common AI Workloads, we introduced some broad concepts around Generative AI.

Generative AI represents one of the most exciting advancements in the field of AI, marking a significant shift from traditional AI systems, which are primarily designed to recognize patterns or make predictions based on input data (largely, statistical analysis and prediction). Instead, Generative AI focuses on creating new data instances that resemble the training data, not just in form but also in function. Generative AI is also useful in helping interpret data and can be used to identify patterns in content more quickly than traditional machine learning models.

Generative AI applications leverage large language models (LLMs) for various natural language processing (NLP) tasks, such as sentiment analysis, text summarization, semantic similarity comparison between texts, and generating new text content. Despite the complexity of their mathematical...