Transformer-based foundation models have revolutionized natural language processing (NLP) and are categorized into three primary types: encoder-only, decoder-only, and encoder-decoder models. Each type is trained using a specific objective function and is suited for different types of generative tasks. Let’s dive deeper into each variant and understand their unique characteristics and applications.