Two important processes for foundation models are:
- Pre-training: this involves using a massive unstructured dataset to train an initial version of the model
- Fine-tuning: this involves using a smaller, targeted dataset to train the foundation model for use in a specific context
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Fine tuning is essential to differentiating content for content marketing purposes.
Wiley, Generative AI for Business Leaders, Udacity, 2024