Creating Compelling Content with Zero-Shot Learning

Having introduced the promise of large language models in Chapter 5, we will go deeper into related topics in this chapter, extending our analysis from their role in data augmentation and sentiment analysis to their broader impact across different domains. This chapter introduces zero-shot learning (ZSL), a method in machine learning where a model can correctly make predictions for new, unseen classes without having received any specific training examples for those classes. It discusses the potential of ZSL and its application within the area of generative AI to create marketing copy. The discussion highlights how ZSL, an efficient tool to complement traditional marketing content creation processes, can revolutionize the generation of marketing copy.

We will start with an in-depth discussion of the core principles of generative AI and navigate through the capabilities and limitations of these technologies, which will set the...