From b1d1cb9b4b447bb563b4d3fe024ebd36c94ea135 Mon Sep 17 00:00:00 2001 From: YangJiaqi Date: Tue, 9 Jul 2024 21:40:18 +0800 Subject: [PATCH] Update auto_prompt_tuning.md (#406) Co-authored-by: Alonso Guevara --- docsite/posts/prompt_tuning/auto_prompt_tuning.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docsite/posts/prompt_tuning/auto_prompt_tuning.md b/docsite/posts/prompt_tuning/auto_prompt_tuning.md index 3b091064..fb92d3a4 100644 --- a/docsite/posts/prompt_tuning/auto_prompt_tuning.md +++ b/docsite/posts/prompt_tuning/auto_prompt_tuning.md @@ -6,7 +6,7 @@ tags: [post, tuning] date: 2024-06-13 --- -GraphRAG provides the ability to create domain adaptive templates for the generation of the knowledge graph. This step is optional, though is is highly encouraged to run it as it will yield better results when executing an Index Run. +GraphRAG provides the ability to create domain adaptive templates for the generation of the knowledge graph. This step is optional, though it is highly encouraged to run it as it will yield better results when executing an Index Run. The templates are generated by loading the inputs, splitting them into chunks (text units) and then running a series of LLM invocations and template substitutions to generate the final prompts. We suggest using the default values provided by the script, but in this page you'll find the detail of each in case you want to further explore and tweak the template generation algorithm.