Uses of Class
com.oracle.bmc.generativeaiinference.model.CohereLlmInferenceRequest.Builder

Packages that use CohereLlmInferenceRequest.Builder

Package	Description
com.oracle.bmc.generativeaiinference.model

Uses of CohereLlmInferenceRequest.Builder in com.oracle.bmc.generativeaiinference.model

Methods in com.oracle.bmc.generativeaiinference.model that return CohereLlmInferenceRequest.Builder

Modifier and Type	Method and Description
static CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.builder() Create a new builder.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.copy(CohereLlmInferenceRequest model)
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.frequencyPenalty(Double frequencyPenalty) To reduce repetitiveness of generated tokens, this number penalizes new tokens based on their frequency in the generated text so far.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.isEcho(Boolean isEcho) Whether or not to return the user prompt in the response.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.isStream(Boolean isStream) Whether to stream back partial progress.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.maxTokens(Integer maxTokens) The maximum number of tokens to predict for each response.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.numGenerations(Integer numGenerations) The number of generated texts that will be returned.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.presencePenalty(Double presencePenalty) To reduce repetitiveness of generated tokens, this number penalizes new tokens based on whether they’ve appeared in the generated text so far.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.prompt(String prompt) Represents the prompt to be completed.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.returnLikelihoods(CohereLlmInferenceRequest.ReturnLikelihoods returnLikelihoods) Specifies how and if the token likelihoods are returned with the response.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.stopSequences(List<String> stopSequences) The generated text is cut at the end of the earliest occurrence of this stop sequence.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.temperature(Double temperature) A number that sets the randomness of the generated output.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.toBuilder()
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.topK(Integer topK) An integer that sets up the model to use only the top k most likely tokens in the generated output.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.topP(Double topP) If set to a probability 0.0 < p < 1.0, it ensures that only the most likely tokens, with total probability mass of p, are considered for generation at each step.
CohereLlmInferenceRequest.Builder	CohereLlmInferenceRequest.Builder.truncate(CohereLlmInferenceRequest.Truncate truncate) For an input that’s longer than the maximum token length, specifies which part of the input text will be truncated.