- You need to insert the API key in the API section in order to be able to generate the content. Please visit the OpenAI website at https://platform.openai.com/account/api-keys to obtain your API key.
Language Selection for Text Generation:
Select the desired language for generated text to maintain consistency with your blog post.
- Choose the language in which you want the generated text to be written.
- It is essential to maintain consistency between the selected language and the language used in your blog post to ensure accurate and relevant autocomplete results.
Preferred OpenAI Model:
Discover the ideal OpenAI model for your needs.
- Different models within the OpenAI framework offer varying capabilities.
- The “davinci” model is the most advanced and powerful, but it comes at a higher cost.
- On the other hand, the “ada” model is less capable but more affordable.
- For only text generation, you can select “text-davinci-003”.
Depending on your preferences, you need to choose the right model. For more detailed information about the available models, refer to the OpenAI documentation at https://beta.openai.com/docs/models/gpt-3.
Customize the randomness of AI-generated completions by adjusting the temperature parameter. Lower values enhance predictability, while higher values stimulate creativity and randomness.
- Adjust the temperature parameter to influence the level of randomness in the generated completions.
- Decreasing the temperature value results in less random outputs, making the model more deterministic and repetitive.
- Conversely, as the temperature approaches one, the model becomes more creative and generates more random completions.
Control the Length of Generated Text by Defining Maximum Token Limit
- Define the maximum number of tokens to be generated in a single request.
- Tokens are the units of text processed by the model, and setting a maximum limit helps manage the length of the generated text.
Top Prediction (Top-P):
A versatile parameter that shapes the diversity of your generated text by defining the number of tokens involved in the creative process.
- The Top-P (Top Prediction) parameter allows you to control the diversity of the generated text.
- Adjusting this parameter determines the number of different tokens considered during text generation.
Where you hold the power to shape the presence of word repetition within your generated text.
- Utilize the frequency penalty to influence the occurrence of word repetition in the generated text.
- Higher penalty values discourage word repetition, while lower values may result in increased repetition.
Customize text generation by adjusting the presence penalty.
- Adjust the presence penalty to influence the inclusion of specific words in the generated text.
- Higher values encourage the model to incorporate the provided words more frequently, while lower values may reduce their occurrence.
Number of Output Choices:
Customize the number of output choices for your generated text. Easily set the default number and tailor your results to suit your needs.
- Set the default number of output choices for the generated text.
Image Size Options:
Get the perfect image size for your generated content. Choose from three image size options for the generated content:
- Thumbnail (256x256px)
- Medium (512x512px)
- Large (1024x1024px)