Sample.json fix for IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision (#1329)

* Intel Python Numpy Numba_dpes kNN sample (#1292)

* *.py and *.ipynb files with implementation
* README.md and sample.json files with documentation
* License and thir party programs

* Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (#1293)

* add IntelPytorch Quantization code samples (#1301)

* add IntelPytorch Quantization code samples

* fix the spelling error in the README file

* use john's README with grammar fix and title change

* Rename third-party-grograms.txt to third-party-programs.txt

Co-authored-by: Jimmy Wei <jimmy.t.wei@intel.com>

* AMX bfloat16 mixed precision learning TensorFlow Transformer sample (#1317)

* [New Sample] Intel Extension for TensorFlow Getting Started (#1313)

* first draft

* Update README.md

* remove redunant file

* [New Sample] [oneDNN] Benchdnn tutorial  (#1315)

* New Sample: benchDNN tutorial

* Update readme: new sample

* Rename sample to benchdnn_tutorial

* Name fix

* Add files via upload (#1320)

* [New Sample] oneCCL Bindings for PyTorch Getting Started (#1316)

* Update README.md

* [New Sample] oneCCL Bindings for PyTorch Getting Started

* Update README.md

* add torch-ccl version check

* [New Sample] Intel Extension for PyTorch Getting Started (#1314)

* add new ipex GSG notebook for dGPU

* Update sample.json

for expertise field

* Update requirements.txt

Update package versions to comply with Snyk  tool

* Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (#1327)

---------

Co-authored-by: krzeszew <93649016+krzeszew@users.noreply.github.com>
Co-authored-by: alexsin368 <109180236+alexsin368@users.noreply.github.com>
Co-authored-by: ZhaoqiongZ <106125927+ZhaoqiongZ@users.noreply.github.com>
Co-authored-by: Louie Tsai <louie.tsai@intel.com>
Co-authored-by: Orel Yehuda <orel.yehuda@intel.com>
Co-authored-by: yuning <113460727+YuningQiu@users.noreply.github.com>

Author: 7 people

AI-and-Analytics/Features-and-Functionality/IntelTensorFlow_Transformer_AMX_bfloat16_MixedPrecision/sample.json

@@ -1,6 +1,6 @@
 {
   "guid": "60A68888-6099-414E-999B-EDC7310A01EA",
-  "name": "TensorFlow (TF) Transformer with Intel® Advanced Matrix Extensions (Intel® AMX) bfoat16 Mixed Precision Learning",
+  "name": "TensorFlow Transformer with Advanced Matrix Extensions bfoat16 Mixed Precision Learning",
   "categories": ["Toolkit/oneAPI AI And Analytics/AI Getting Started Samples"],
   "description": "This sample code demonstrates optimizing a TensorFlow model with Intel® Advanced Matrix Extensions (Intel® AMX) using bfloat16 (Brain Floating Point) on Sapphire Rapids",
   "builder": ["cli"],