diff --git a/.github/actions/cpu-setup/action.yml b/.github/actions/cpu-setup/action.yml
index 6e452d640..d02794b3b 100644
--- a/.github/actions/cpu-setup/action.yml
+++ b/.github/actions/cpu-setup/action.yml
@@ -1,4 +1,4 @@
-name: Olive Examples CI | Setup Composite Workflow for CPU runs
+name: Olive Recipes CI | Setup Composite Workflow for CPU runs
 description: "Composite action to setup environment for CPU workflows"
 
 inputs:
diff --git a/.github/actions/cuda-setup/action.yml b/.github/actions/cuda-setup/action.yml
index ff31f320c..ae9e1ce96 100644
--- a/.github/actions/cuda-setup/action.yml
+++ b/.github/actions/cuda-setup/action.yml
@@ -1,4 +1,4 @@
-name: Olive Examples CI | Setup Composite Workflow for CUDA runs
+name: Olive Recipes CI | Setup Composite Workflow for CUDA runs
 description: "Composite action to setup environment for CUDA workflows"
 
 inputs:
diff --git a/.github/scripts/generate_matrix.py b/.github/scripts/generate_matrix.py
index bec7de089..15cd79841 100644
--- a/.github/scripts/generate_matrix.py
+++ b/.github/scripts/generate_matrix.py
@@ -22,7 +22,7 @@
 os = sys.argv[2]
 device = sys.argv[3]
 
-examples = []
+recipes = []
 for filepath in dirpath.rglob("olive_ci.json"):
     with filepath.open() as strm:
         for config in json.load(strm):
@@ -35,8 +35,8 @@
                     if key not in config:
                         config[key] = value
 
-                examples.append(config)
+                recipes.append(config)
 
-matrix = {"include": examples}
+matrix = {"include": recipes}
 output = json.dumps(matrix)
 print(output)
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 5211eafd5..7f98696f1 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -1,5 +1,5 @@
 name: main
-description: "CI workflow for Olive Examples"
+description: "CI workflow for Olive Recipes"
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
@@ -59,7 +59,7 @@ jobs:
         matrix=$(python .github/scripts/generate_matrix.py . windows cuda)
         echo "windows_cuda_matrix=$matrix" >> $GITHUB_OUTPUT
 
-  ubuntu-cpu-examples:
+  ubuntu-cpu-recipes:
     needs: generate-matrix
     strategy:
       fail-fast: false
@@ -83,7 +83,7 @@ jobs:
       working-directory: ${{ github.workspace }}/${{ matrix.cwd }}
       run: ${{ matrix.command }}
 
-  ubuntu-cuda-examples:
+  ubuntu-cuda-recipes:
     needs: generate-matrix
     strategy:
       fail-fast: false
@@ -107,7 +107,7 @@ jobs:
       working-directory: ${{ github.workspace }}/${{ matrix.cwd }}
       run: ${{ matrix.command }}
 
-  windows-cpu-examples:
+  windows-cpu-recipes:
     needs: generate-matrix
     strategy:
       fail-fast: false
diff --git a/README.md b/README.md
index 6a121a904..7a605e007 100644
--- a/README.md
+++ b/README.md
@@ -5,10 +5,10 @@
     <img alt="olive" src="images/olive-black-text.png" height="100" style="max-width: 100%;">
   </picture>
 
-## Olive Examples For AI Model Optimization Toolkit Using ONNX Runtime
+## Olive Recipes For AI Model Optimization Toolkit Using ONNX Runtime
 </div>
 
-This repository compliments [Olive](https://github.com/microsoft/Olive), the AI model optimization toolkit, and includes examples demonstrating its extensive features and use cases. Users of Olive can use these examples as a reference to either optimize publicly available AI models or to optimize their own proprietary models.
+This repository compliments [Olive](https://github.com/microsoft/Olive), the AI model optimization toolkit, and includes recipes demonstrating its extensive features and use cases. Users of Olive can use these recipes as a reference to either optimize publicly available AI models or to optimize their own proprietary models.
 
 ## Learn more
 - [Olive Github Repository](https://github.com/microsoft/Olive)
diff --git a/bert/README.md b/bert/README.md
index cc012fbab..8ad8b0727 100644
--- a/bert/README.md
+++ b/bert/README.md
@@ -1,5 +1,5 @@
 # BERT Optimization
-This folder contains examples of BERT optimization using different workflows.
+This folder contains recipe for BERT optimization using different workflows.
 
 - QDQ: [Int8 Quantization with QDQ format](#bert-quantization-qdq)
 - CPU: [Optimization with PTQ for model from HF/AML](#bert-optimization-with-ptq-on-cpu)