Source: Personal archive

As a digital writer, I know that the right tool and expertise can make all the difference when it comes to creating content that stands out.

That’s why I love ChatGPT, the AI language model that’s revolutionizing the way we write.

In this article, I’ll be diving into the parameters of ChatGPT, which are the secret sauce to making this tool work for you like a pro.

We’ll explore the different parameters, how they work, and how to use them to elevate your copywriting and UX writing game.

So, without further ado, let’s get started!

What are parameters?

Parameters are the settings that dictate how ChatGPT generates text. Think of them as levers you can pull to fine-tune the AI’s output, helping you create content that matches your desired style, tone, and creativity.

The key parameters we’ll be discussing are temperature, max tokens, and diversity_penalty.

1. Temperature

The temperature parameter controls the randomness of the text generated by ChatGPT.

Generated text with a lower temperature will be more focused and conservative while generated text with a higher temperature will be more creative and varied.

Temperature ranges from 0 to 1.

Here’s a quick breakdown of how it works:

• Low temperature (0 to 0.3): More focused, coherent, and conservative outputs.
• Medium temperature (0.3 to 0.7): Balanced creativity and coherence.
• High temperature (0.7 to 1): Highly creative and diverse, but potentially less coherent.

2. Diversity_penalty

Diversity_penalty makes sure that the text that is generated is varied by giving a penalty to tokens that have already been used in the response.

It ranges from 0 to 2, with higher values resulting in more diverse output.

• Low diversity_penalty (0): No penalty applied; may have repetitive phrases.
• Medium diversity_penalty (1): Balanced diversity and coherence.
• High diversity_penalty (2): Maximum diversity, may affect coherence.

3. Max tokens

Max tokens determine the maximum length of the generated text. By setting a limit, you can control how much the AI says, making sure it doesn't give too long of an answer.

Now that we understand the parameters, let’s dive into how to use them in various copywriting and UX writing scenarios.

Copywriting Use Cases

1. Blog post

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When crafting a blog post, you want a good balance between creativity and coherence to keep your readers engaged.

In order to achieve this, you can experiment with the following parameter settings:

• Temperature: 0.5 to 0.7 for a balance between creativity and coherence.
• Diversity_penalty: 1 to ensure diverse output without compromising readability.
• Max tokens: Set according to your desired word count or limit to keep responses concise.

2. Newsletter email

For a newsletter, clarity and conciseness are key. You want to capture your reader’s attention and communicate your message effectively.

Try these settings:

• Temperature: 0.3 to 0.5 for focused and coherent outputs.
• Diversity_penalty: 0.5 to 1 to avoid repetition while maintaining readability.
• Max tokens: Set according to the desired length of your email content.

3. Social media caption

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Captions on social media need to be catchy and engaging. You might want to experiment with higher creativity to stand out from the crowd.

Use these settings:

• Temperature: 0.7 to 1 for more creative and diverse outputs.
• Diversity_penalty: 1 to 2 for maximum diversity without sacrificing too much coherence.
• Max tokens: Set a limit that corresponds to the platform’s character limit.

4. UX writing

In UX writing, clarity and conciseness are critical. You want your users to understand the instructions and navigate your interface easily.

To achieve this, use the following parameter settings:

• Temperature: 0.2 to 0.4 for highly focused and coherent outputs.
• Diversity_penalty: 0 to 0.5 to maintain clarity and avoid repetitive phrases.
• Max tokens: Set a strict limit to keep instructions and labels concise.

5. Creative storytelling

For creative writing or storytelling, you might want to explore more diverse and imaginative outputs.

Experiment with these settings:

• Temperature: 0.7 to 1 for maximum creativity and variety.
• Diversity_penalty: 1 to 2 for a wide range of unique phrases and ideas.
• Max tokens: Set according to your desired story length or scene.

6. Formal business writing

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In a business setting, you need to convey your message clearly and professionally.

To achieve this, opt for the following parameters:

• Temperature: 0.2 to 0.4 for focused, coherent, and conservative outputs.
• Diversity_penalty: 0 to 1 for balanced diversity without affecting readability.
• Max tokens: Set a limit based on the desired length of your business document.

If you want to use ChatGPT to make the best content for your needs, parameters are your secret weapon.

By understanding and adjusting temperature, diversity_penalty, and max tokens, you can generate text that strikes the right balance between creativity, coherence, and length for various copywriting and UX writing scenarios.

You can use the examples in this article as a jumping-off point to find the best parameter combinations for your own use case.

Don’t be afraid to experiment and fine-tune these settings to achieve the best results. With a bit of practice, you’ll be using ChatGPT like a pro in no time!

Here’s how you can formulate your parameter prompt:

Source: Personal archive

Principal Parameters:

Temperature (0 to 1): Controls the randomness and creativity of the generated text. When the values are low, the outputs are more focused, while when the values are high, the text is more varied and creative.

Diversity_penalty (0 to 2): Tokens that have already been used in the response are penalized, making sure that the output is varied. Higher values lead to more diverse text, while lower values may have more repetitive phrases.

Max tokens (positive integer): Sets the maximum length of the text that will be made, which controls how much text will be made. Set a limit based on the desired word or character count.

Top_p (0–1): Sets the probability mass cutoff for token sampling, affecting the breadth of options the AI considers. Higher values lead to more randomness, while lower values result in more focused outputs.

Frequency_penalty (-2 to 2): Penalizes frequently occurring tokens in the generated text, encouraging the AI to use less common words. Positive values promote rarer words, while negative values allow for more common language.

Presence_penalty (-2 to 2): Gives a penalty to tokens that have already been used in the input. This affects how often the AI repeats phrases from the input. Positive values discourage repetition, while negative values may result in echoing input text.

Secondary Parameters:

Best_of (positive integer): Generates a specified number of responses and returns the one with the highest score based on the model’s internal evaluation. Useful for selecting a high-quality output among multiple alternatives.

N (positive integer): Determines the number of alternative completions to generate for a given input. It can be used to explore multiple ideas or variations for a prompt.

Echo (boolean: true or false): Enables or disables the AI’s ability to echo parts of the input in the response. When set to true, the model is more likely to include phrases from the input in the generated text.

Stop_sequences (list of strings): Specifies a list of strings that, when the AI encounters them, will stop the text generation. This can be useful for controlling the content or structure of the generated text.

User_attributes (list of key-value pairs): Allows you to provide additional information about the user, which can be used by the AI to tailor the generated text according to user preferences, demographics, or other characteristics.

System_level_settings (dictionary): Gives advanced options for fine-tuning the AI's behavior, such as changing the model's internal memory, processing speed, or resource use.

Prompt_tokens (list of tokenized strings): Allows you to directly provide tokenized input to the AI, which can be useful for working with non-text input or for optimizing performance by pre-tokenizing long input sequences.

Keep in mind that these parameters may have different effects depending on the version of ChatGPT you’re using or the specific implementation of the AI model.

Be sure to consult the documentation for your chosen ChatGPT platform to understand the available options and their recommended usage.

I discovered all about parameters and more about ChatGPT in Tibi David’s handbook, “Crack the Chat GPT Code: Better Prompt Crafting Strategies for UX Designers”.

Source: https://tibidavid.gumroad.com/l/ChatGPT-for-UX-Designers

Discover the secrets of ChatGPT with the “Crack the Chat GPT Code” handbook—a complete guide that’ll show you how to rev up the AI engine, create killer UX design prompts, save time using ready-made prompts, dodge common pitfalls, and tackle ethical concerns using pro tips and hands-on examples.

I love how easily and effortlessly the parameters, prompts, and a lot of other secrets are explained in his handbook, which took me less than 30 minutes to read. You should give it a try! It will change your ChatGPT game.

In a nutshell, ChatGPT is a super cool tool that’s made my writing life so much easier. By playing around with the parameters, you can get the AI to match your vibe and whip up content that’s on point.

So, dive in and experiment with the settings — before you know it, you’ll be cranking out wicked content with a little help from your AI sidekick.