From 77204faa5109f8131dcff529fd78b8b99ae569c5 Mon Sep 17 00:00:00 2001 From: mrT23 Date: Tue, 11 Feb 2025 10:24:16 +0200 Subject: [PATCH] docs: clarify open-source models usage scope in model selection guide --- docs/docs/usage-guide/changing_a_model.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/usage-guide/changing_a_model.md b/docs/docs/usage-guide/changing_a_model.md index 633befe9..420f3736 100644 --- a/docs/docs/usage-guide/changing_a_model.md +++ b/docs/docs/usage-guide/changing_a_model.md @@ -51,7 +51,7 @@ api_base = "http://localhost:11434" # or whatever port you're running Ollama on Commercial models such as GPT-4, Claude Sonnet, and Gemini have demonstrated robust capabilities in generating structured output for code analysis tasks with large input. In contrast, most open-source models currently available (as of January 2025) face challenges with these complex tasks. - Based on our testing, local open-source models are suitable for experimentation and learning purposes, but they are not suitable for production-level code analysis tasks. + Based on our testing, local open-source models are suitable for experimentation and learning purposes (mainly for the `ask` command), but they are not suitable for production-level code analysis tasks. Hence, for production workflows and real-world usage, we recommend using commercial models.