The Ask AI Block allows you to send messages to over 250 different AI models for chat completions. This versatile block provides a wide range of options for AI-powered conversations and text generation tasks.
What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. Only available when “Use Temperature Input” is enabled.
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. Only available when “Use Top P Input” is enabled.
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. Only available when “Use Presence Penalty Input” is enabled.
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. Only available when “Use Frequency Penalty Input” is enabled.
If specified, OpenAI will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Only available when “Use Seed Input” is enabled.
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.
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.
If specified, OpenAI will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.
Can I use multiple AI models in the same workflow?
Yes, you can use multiple Ask AI blocks with different models in the same workflow.
What happens if I connect an unsupported data type to the prompt input?
The block will attempt to convert the value to a string. If successful, it will be treated as a user message. If conversion fails, the input will be ignored.
Are all settings available for all models?
No, available settings may vary depending on the selected model. The block will adapt its settings based on your selection.