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