Merge branch 'main' of https://github.com/NVIDIA/TransformerEngine

docs/index.rst

+..
+    Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
+    See LICENSE for license information.
+
+Transformer Engine documentation
+==============================================
+
+.. ifconfig:: "dev" in release
+
+   .. warning::
+      You are currently viewing unstable developer preview of the documentation.
+      To see the documentation for the latest stable release, refer to:
+
+      * `Release Notes <https://docs.nvidia.com/deeplearning/transformer-engine/release-notes/index.html>`_
+      * `Developer Guide <https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html>`_ (stable version of this page)
+
+.. include:: ../README.rst
+   :start-after: overview-begin-marker-do-not-remove
+   :end-before: overview-end-marker-do-not-remove
+
+.. toctree::
+   :hidden:
+
+   Home <self>
+
+.. toctree::
+   :hidden:
+   :caption: Getting Started
+
+   installation
+   examples/quickstart.ipynb
+   faq
+
+.. toctree::
+   :hidden:
+   :caption: Python API documentation
+
+   api/common
+   api/framework
+
+.. toctree::
+   :hidden:
+   :caption: Examples and Tutorials
+
+   examples/fp8_primer.ipynb
+   examples/advanced_optimizations.ipynb
+   examples/te_llama/tutorial_accelerate_hf_llama_with_te.ipynb
+
+.. toctree::
+   :hidden:
+   :caption: Advanced
+
+   api/c/index
+   examples/attention/attention.ipynb

examples/jax/README.md

+# Transformer Engine Examples #
+
+This folder contains simple examples introducing Transformer Engine and FP8 training usage.
+
+**Examples Outline**
+* MNIST training: Training MNIST dataset is a good start point to learn how use Transformer Engine and enable FP8 training
+* Encoder training: The encoder examples introduce more about how to scale up training on multiple GPUs with Transformer Engine
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