Blogs

Parameters for Controlling Outputs

Cohere

In this chapter, you’ll learn about the parameters that you can leverage to ​​control the Chat endpoint's outputs.

Visit Site

Cohere Transcribe Arabic: Open-Source Speech AICohere Turbocharge Your Chatbot with Intent RecognitionCohere Why You Need a Large Language Model for Intent RecognitionCohere Introducing: Cohere For AICohere The Cohere Platform is now publicly availableCohere Build a smart Slack bot with language modelsCohere A Proposal for Adding Generics to Go - The Go Programming LanguageGo Bringing More Power To Edge Rules! Introducing Variable ExpansionBunny Fields - MintlifyMintlify Policy as Code for Any Cloud ProviderPulumi What is Tensor Memory?Modal Cerebras Systems Sets Record for Largest AI Models Ever Trained on A Single Device - CerebrasCerebras Cerebras-GPT: A Family of Open, Compute-efficient, Large Language Models - CerebrasCerebras Context parametersKotlinlang Vary This, Vary That - Introducing New Custom Query Parameter Vary Cache SettingsBunny OpenAI Chat Completions Structured Outputs with AI GatewayVercel Pulumi Cloud Gets Full Historical Views of Resources and Stack OutputsPulumi Generics: in, out, whereKotlinlang Functions | KotlinKotlinlang Random Number Generator - GlossaryDeveloper Mozilla