pub struct CreateEditRequest {
pub model: String,
pub input: Option<Option<String>>,
pub instruction: String,
pub n: Option<Option<i32>>,
pub temperature: Option<Option<f32>>,
pub top_p: Option<Option<f32>>,
}
Fields§
§model: String
ID of the model to use. You can use the text-davinci-edit-001
or code-davinci-edit-001
model with this endpoint.
input: Option<Option<String>>
The input text to use as a starting point for the edit.
instruction: String
The instruction that tells the model how to edit the prompt.
n: Option<Option<i32>>
How many edits to generate for the input and instruction.
temperature: Option<Option<f32>>
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. We generally recommend altering this or top_p
but not both.
top_p: Option<Option<f32>>
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. We generally recommend altering this or temperature
but not both.
Implementations§
Source§impl CreateEditRequest
impl CreateEditRequest
pub fn new(model: String, instruction: String) -> CreateEditRequest
Trait Implementations§
Source§impl Clone for CreateEditRequest
impl Clone for CreateEditRequest
Source§fn clone(&self) -> CreateEditRequest
fn clone(&self) -> CreateEditRequest
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read more