It is a common observation that the text generation tool in Pencil Pro frequently uses certain words and it's rooted in the way the tool is designed to function. This article aims to help you understand why this is happening and what you can do to reduce the frequency of certain words where desired. We will focus on the Brand Library and the selected model's dataset.

The brand library is a detailed collection of information that captures what your brand is all about. It acts as a guide for the text generation tool, making sure all the content it creates matches your brand's identity. The brand library has several important parts that influence text generation. By bringing these components together, the brand library plays a key role in guiding the text generation process, making sure all output reflects your brand's unique voice and message.

The brand library can significantly influence the frequency of certain words in the generated text. If your brand library emphasises specific keywords or phrases, the tool will naturally incorporate these more often to maintain consistency with your brand's voice.

Pencil Pro's text generation tool features advanced language models which are trained on vast datasets that include a wide range of text from the internet. The dataset provides the foundational knowledge that the model uses to generate text.

The dataset used to train the model can also impact word frequency. Certain words or phrases may appear more frequently in the dataset, leading the model to use them more often in generated content. This is because the model learns patterns and associations from the data it has been exposed to, and it tends to replicate these patterns in its outputs.

To achieve a balance between brand consistency and creativity, consider customising your brand library. By carefully selecting the keywords and phrases that best represent your brand, you can guide the text generation tool to produce content that aligns with your brand's identity while still allowing room for creative expression.

Pencil Pro offers the flexibility to experiment with different models. If you find that a particular model's outputs are too repetitive, you might try using a different model or adjusting the parameters to see if it yields more varied results. This can help you find the right balance between consistency and diversity in your generated content.

Varying your prompt is crucial to avoid the repetition of words and phrases in the content generated by the text tool. When you use the same or similar prompts repeatedly, the tool is likely to produce content that mirrors those inputs, leading to repetitive language. By changing your prompts, you encourage the tool to explore different angles and ideas, resulting in more diverse and engaging content. Additionally, experimenting with different prompts allows you to test the tool's flexibility and creativity, ensuring that the content remains fresh and appealing to your audience. It also helps in aligning the generated text more closely with specific campaign goals or themes, providing a richer and more tailored experience for your readers.

You may wish to read our other articles on Text Generation; of particular relevance is this article on Prompting for Copy.

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In conclusion, the frequent use of certain words by Pencil Pro's text generation tool is influenced by both the brand library and the selected model's dataset. By understanding these factors, you can better manage the tool's outputs to suit your brand's needs. Customising your brand library and experimenting with different models are effective strategies to ensure that your content remains both consistent and engaging.