As presented in the preceding chapter, the methods developed in this dissertation significantly enhance text classification in low-data regimes. However, as foundation models such as GPT-4 or Llama exhibit strong few- or zero-shot capabilities, it is necessary to examine how they compare to the methods developed in this dissertation. This chapter initially identifies the strengths and limitations of these foundation models in the context of the low-data regime methods of this dissertation.