From 7b1e3c074b8bd0da1bf091c5a13658ce41801b27 Mon Sep 17 00:00:00 2001
From: Nicy Scaria <68124740+nicyscaria@users.noreply.github.com>
Date: Wed, 4 Sep 2024 08:45:40 +0000
Subject: [PATCH] deleted deeplearning notes

---
 _pages/research.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/_pages/research.md b/_pages/research.md
index d5ecfb6d024d6..52e039efa0491 100644
--- a/_pages/research.md
+++ b/_pages/research.md
@@ -11,9 +11,6 @@ author_profile: true
 
 {% endif %}
 
-
-<!-- This [website](/deeplearning/) is awesome. -->
-
 ### ✅ Assessment of Large Language Models’ Ability to Generate Relevant and High-Quality Questions at Different Bloom’s Skill Levels
 We examined the ability of five state-of-the-art LLMs to generate relevant and high-quality questions of different cognitive levels, as defined by Bloom's taxonomy. We prompted each model with the same instructions and different contexts to generate 510 questions. Two human experts used a ten-item rubric to assess the linguistic and pedagogical relevance and quality of the questions. Our findings suggest that LLMs can generate relevant and high-quality educational questions of different cognitive levels, making them useful for creating assessments.