Abstract
Optional
fields: ChatGoogleBaseInput<AuthOptions>Maximum number of tokens to generate in the completion.
Model to use
Model to use
Alias for model
Sampling temperature to use
Top-k changes how the model selects tokens for output.
A top-k of 1 means the selected token is the most probable among all tokens in the model’s vocabulary (also called greedy decoding), while a top-k of 3 means that the next token is selected from among the 3 most probable tokens (using temperature).
Top-p changes how the model selects tokens for output.
Tokens are selected from most probable to least until the sum of their probabilities equals the top-p value.
For example, if tokens A, B, and C have a probability of .3, .2, and .1 and the top-p value is .5, then the model will select either A or B as the next token (using temperature).
Protected
connectionProtected
streamedOptional
kwargs: Partial<GoogleAIBaseLanguageModelCallOptions>Abstract
buildOptional
fields: GoogleAIBaseLLMInput<AuthOptions>Optional
fields: GoogleAIBaseLLMInput<AuthOptions>Optional
fields: GoogleAIBaseLLMInput<AuthOptions>Get the parameters used to invoke the model
Optional
options: unknownGenerated using TypeDoc
Integration with a chat model.