Enum PromptGranularity

pub enum PromptGranularity {
    Auto,
    Word,
    Sentence,
    Paragraph,
}

At which granularity should the target be explained in terms of the prompt. If you choose, for example, PromptGranularity::Sentence then we report the importance score of each sentence in the prompt towards generating the target output. The default is PromptGranularity::Auto which means we will try to find the granularity that brings you closest to around 30 explanations. For large prompts, this would likely be sentences. For short prompts this might be individual words or even tokens.

Variants

Auto

Let the system decide which granularity is most suitable for the given input. This will result

Word

Sentence

Paragraph

Trait Implementations

impl Clone for PromptGranularity

fn clone(&self) -> PromptGranularity

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Default for PromptGranularity

fn default() -> PromptGranularity

Returns the “default value” for a type.

impl PartialEq for PromptGranularity

fn eq(&self, other: &PromptGranularity) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for PromptGranularity

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for PromptGranularity

impl StructuralPartialEq for PromptGranularity