Specify where the phone number comes from. The phone number should be prefixed with a country code, e.g. "48500500500" if the country code is "48".

If you select "Yes", then contact will be deleted from contacts database.

Messages will be sent using this sender name. This option does not work in every network. Please contact SMSAPI if it's not working for your number.

The group to send the text message to.

The text message that will be sent.

Enable this setting if you want special characters to be replaced with their ASCII counterparts.

Use a detailed description for DALL-E to generate into an image. EG: An impressionist oil painting of sunflowers in a purple vase. Read more.

Number of image variations (1 - 10).

Select the size of image.

A string that you want to search for. EG: "large animal".

The list of documents to search through. EG: "mouse", "cat", "buffalo", and "blue whale".

Note: we handle the embeddings for you, by computing a cosine difference between this query and each of the documents. Read more.

Select groups that new contacts will be assigned to.

The phone number should be prefixed with a country code, e.g. "48500500500" if the country code is "48".

Person's first name.

The phone number to send the text message to, prefixed with a country code, e.g. "48500500500" if the country code is "48".

The text message that will be sent.

The text to analyze against moderation categories. Read more.

We recommend "text-davinci-003". For a faster and lower cost option try "text-curie-001". Note: If you wish to use one of the "gpt-3.5-turbo" models, please use the ChatGPT app instead. Learn More.

Writing a good prompt is important. Start by creating a clear goal & ask a specific question. Make sure the prompt is well structured & provides enough context for the OpenAI to generate a useful response. Learn More.

Higher values mean the model will take more risks. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer.

We generally recommend altering this or Top P but not both.

The maximum number of tokens to generate in the completion.

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.