From a1a7a8f4e8989c888d1a09c340ed6c5415825cb2 Mon Sep 17 00:00:00 2001 From: Knox Lively Date: Sat, 27 Apr 2024 22:49:38 -0600 Subject: [PATCH] updated BYOLLM page with small tweaks --- features/supportedLLMs/BYOLLM.mdx | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/features/supportedLLMs/BYOLLM.mdx b/features/supportedLLMs/BYOLLM.mdx index 174c07d..ff41551 100644 --- a/features/supportedLLMs/BYOLLM.mdx +++ b/features/supportedLLMs/BYOLLM.mdx @@ -3,7 +3,9 @@ title: 'BYOLLM' description: 'Get up and running with your own LLM' --- -Wave AI supports the integration of any LLM provider that uses the same [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat). This feature allows you to bring your own compatible LLM provider and seamlessly integrate it into your workflow. +Wave AI supports the integration of any LLM provider that uses the [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat). This feature allows you to bring your own compatible LLM provider and seamlessly integrate it into your workflow. + +While we strive to test and include as many local LLM providers as possible, we simply cannot add them all. This is where BYOLLM comes in — it allows you to configure your own LLM provider with just a couple of simple changes, even if it's not officially listed as supported by Wave AI. To see a full list of supported LLM providers, please visit the [Third-Party LLM Support](/features/waveAI#third-party-llm-support) section in the Wave AI features page. @@ -11,9 +13,9 @@ To see a full list of supported LLM providers, please visit the [Third-Party LLM ## Configuration -After installing and configuring your own LLM provider, you can start using it in Wave by setting two parameters: `aibaseurl` and `aimodel`. These parameters can be set either through the UI or from the command line, but please note that the parameter names are slightly different depending on the method you choose. +After installing and configuring your own LLM provider, you should be able to start using it in Wave by setting two parameters: `aibaseurl` and `aimodel`. These parameters can be set either through the UI or from the command line, but please note that the parameter names are slightly different depending on the method you choose. -### **Parameters** +### Parameters - **AI Base URL:** Set this parameter to the base URL or endpoint that Wave AI should query. - **AI Model**: Specify the model name that you want to use.