Both, GPT and Data-to-Text are NLG technologies. NLG means "Natural Language Generation" and refers to the
automated generation of natural language text, even though there are significant differences.
With
data-to-text software like AX Semantics, you can generate
high-quality content based on structured data. The user has control over the text results, can intervene in the text creation at any time, and make updates or adjustments. This control ensures
text consistency, meaningfulness and quality. And: By working with a central rule set instead of generating each individual text, content creation becomes a scalable process. Tools based on structured data can, for example, create
hundreds or thousands of different product descriptions with variable details in just a few moments.
GPT stands for "Generative Pre-trained Transformer". It is a language model that
learns from existing text and can provide different ways to end a sentence. It has been
trained with hundreds of billions of words, representing a significant portion of the internet. Unlike data-to-text, GPT can only be used to
generate individual texts, although this can be done quickly. However, the user has
not that much control over the generated content and tonality and needs to
review every text.