Enterprise GENERATIVE AI Well-Architected Framework & Patterns

Are Fine Tuning & Pre-Training referring to the  similar process?

Though the process may appear similar, there exists a fundamental distinction in how the model is trained and the type of dataset utilized. Fine-tuning predominantly focuses on training the model within a confined context using either labeled or unstructured data within that context. As a result, it demands less computational power. On the other hand, pre-training necessitates an extensive dataset with the objective of creating an entirely foundational model and thus it requires massive usage of computational power during the training.

Let’s consider, a user from a reputable fashion company known for its stellar customer management is exploring various methods to ...