Summarization with T5 and ChatGPT
During the first seven chapters, we explored the architecture training, fine-tuning, and usage of several transformer ecosystems. In Chapter 7, The Generative AI Revolution with ChatGPT, we discovered that OpenAI has begun experimenting with zero-shot models that require no fine-tuning or development and can be implemented in a few lines.
The underlying concept of such an evolution relies on how transformers strive to teach a machine how to understand a language and express itself in a human-like manner. Thus, we have gone from training a model to teaching languages to machines.
ChatGPT, New Bing, Gemini, and other end user software can summarize, so why bother with T5? Because Hugging Face T5 might be the right solution for your project, as we will see. It has unique qualities, such as task-specific parameters for summarizing.
Raffel et al. (2019) designed a transformer meta-model based on a simple assertion: every NLP problem can be...
