Exploring Pretrained Foundation Models for Downstream Applications

Pretrained Foundation Models (PFMs) have become increasingly popular in the field of natural language processing (NLP) and other data modalities. BERT, ChatGPT, and GPT-4 are some of the most well-known PFMs, trained on large-scale data and providing a strong baseline for various downstream tasks. BERT, in particular, utilizes a bidirectional encoder representation from Transformers, which has shown impressive results in NLP tasks. In this article, we will explore the benefits of using PFMs for downstream applications and how they can be fine-tuned for specific tasks.