highlights QAT in guide title

examples/keras_recipes/float8_training_and_inference_with_transformer.py → examples/keras_recipes/float8_quantization_aware_training_and_inference_with_transformer.py

@@ -1,9 +1,9 @@
 """
-Title: Float8 training and inference with a simple Transformer model
+Title: Float8 Quantization-Aware Training and Inference with a simple Transformer model
 Author: [Hongyu Chiu](https://github.com/james77777778)
 Date created: 2024/05/14
 Last modified: 2024/05/14
-Description: Train a simple Transformer model with the float8 quantization.
+Description: Train a simple Transformer model with float8 quantization-aware training.
 Accelerator: GPU
 """
 

examples/keras_recipes/ipynb/float8_training_and_inference_with_transformer.ipynb → examples/keras_recipes/ipynb/float8_quantization_aware_training_and_inference_with_transformer.ipynb

@@ -6,12 +6,12 @@
     "colab_type": "text"
    },
    "source": [
-    "# Float8 training and inference with a simple Transformer model\n",
+    "# Float8 Quantization Aware Training and Inference with a simple Transformer model\n",
     "\n",
     "**Author:** [Hongyu Chiu](https://github.com/james77777778)<br>\n",
     "**Date created:** 2024/05/14<br>\n",
     "**Last modified:** 2024/05/14<br>\n",
-    "**Description:** Train a simple Transformer model with the float8 quantization."
+    "**Description:** Train a simple Transformer model with float8 quantization-aware training."
    ]
   },
   {

examples/keras_recipes/md/float8_training_and_inference_with_transformer.md → examples/keras_recipes/md/float8_quantization_aware_training_and_inference_with_transformer.md

@@ -1,9 +1,9 @@
-# Float8 training and inference with a simple Transformer model
+# Float8 Quantization-Aware Training and Inference with a simple Transformer model
 
 **Author:** [Hongyu Chiu](https://github.com/james77777778)<br>
 **Date created:** 2024/05/14<br>
 **Last modified:** 2024/05/14<br>
-**Description:** Train a simple Transformer model with the float8 quantization.
+**Description:** Train a simple Transformer model with float8 quantization-aware training.
 
 
 <img class="k-inline-icon" src="https://colab.research.google.com/img/colab_favicon.ico"/> [**View in Colab**](https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/keras_recipes/ipynb/float8_training_and_inference_with_transformer.ipynb)  <span class="k-dot">•</span><img class="k-inline-icon" src="https://github.com/favicon.ico"/> [**GitHub source**](https://github.com/keras-team/keras-io/blob/master/examples/keras_recipes/float8_training_and_inference_with_transformer.py)

scripts/examples_master.py

@@ -958,8 +958,8 @@
                     "keras_3": True,
                 },
                 {
-                    "path": "float8_training_and_inference_with_transformer",
-                    "title": "Float8 training and inference with a simple Transformer model",
+                    "path": "float8_quantization_aware_training_and_inference_with_transformer",
+                    "title": "Float8 Quantization-Aware Training and Inference with a simple Transformer model",
                     "subcategory": "Keras usage tips",
                     "keras_3": True,
                 },