Enhancing Brand Presence with Few-Shot Learning and Transfer Learning

This chapter explores the capabilities of few-shot learning (FSL) and its value in enhancing brand presence through tailored marketing strategies. Building on the insights from zero-shot learning (ZSL) covered in the previous chapter, we now focus on how FSL, by utilizing a limited set of examples, enables rapid and effective adaptation of AI models to new tasks. This approach is particularly valuable in marketing, where the ability to swiftly adjust content to align with evolving consumer preferences and market trends is crucial.

Initially, we will introduce some of the fundamental concepts of FSL in the context of meta-learning as an underlying technique that facilitates quick learning from small datasets. We will then explore the synergy between FSL and transfer learning using practical examples; while FSL is effective at quickly adapting to new tasks with few examples, transfer learning complements this...