GPT-3 vs. Data-to-Text

What’s the right content generation technology for your business?

Numerous NLG tools on the market can be used to create texts automatically. However, the technologies are very different. Find out which one best suits your needs!
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Overview: Natural Language Generation via GPT-3 and Data-toText

Both GPT-3 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. Tools based on structured data can, for example, create hundreds or thousands of different product descriptions with variable details in just a few moments.

The GPT in GPT-3 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-3 can only be used to generate individual texts, although this can be done quickly. However, the user has no control over the generated content.

Which Technology is suitable for which Use Cases?

You can easily find out which technology is better for your use case. In the following table, we have summarized the criteria you can use to decide which technology suits your business best:
GPT-3 vs. Data-to-Text Comparison

How does Content Generation with Data-to-Text Software work?

1. Upload Your
Data

Upload structured data like product features and information from a PIM system or another source to form the information base for your content.

2. Configure Your
Content

Implement your desired statements and rules to define how your uploaded data should appear and be interpreted in the texts.

3. Generate Unique
Content

Generate thousands of individual texts for all your data records at the touch of a button. You can update and refresh your content as often as you like.
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Over 500 Companies Use AX Semantics Data-to-Text Software 

The content team of the online price comparison portal billiger.de generates over 100,000 unique and high-quality SEO product descriptions per year with the AX Semantics content generation software.

Without automated content generation, it would be impossible to write descriptions for the huge product range of billiger.de.

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