README - latest news update (#2273)

* Enhance Latest News section with recent TE and FP8 developments

- Adds NVFP4 pretraining research paper with PR #2177 reference
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* update nvfp4 reference
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>

* Update README.rst
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Santosh Bhavani <santosh.bhavani@live.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

README.rst

@@ -12,6 +12,14 @@ Transformer Engine
 
 Latest News
 ===========
+
+* [09/2025] `Pretraining Large Language Models with NVFP4 <https://www.arxiv.org/pdf/2509.25149>`_
+* [09/2025] `Native FP8 Mixed Precision Training for Ling 2.0, Open Sourced! <https://huggingface.co/blog/im0qianqian/ling-mini-2-fp8-mixed-precision-training-solution>`_
+* [09/2025] `Faster Training Throughput in FP8 Precision with NVIDIA NeMo <https://developer.nvidia.com/blog/faster-training-throughput-in-fp8-precision-with-nvidia-nemo/>`_
+* [08/2025] `How we built DeepL's next-generation LLMs with FP8 for training and inference <https://www.deepl.com/en/blog/tech/next-generation-llm-fp8-training>`_
+* [08/2025] `NVFP4 Trains with Precision of 16-bit and Speed and Efficiency of 4-bit <https://developer.nvidia.com/blog/nvfp4-trains-with-precision-of-16-bit-and-speed-and-efficiency-of-4-bit/>`_
+* [06/2025] `Floating Point 8: An Introduction to Efficient, Lower-Precision AI Training <https://developer.nvidia.com/blog/floating-point-8-an-introduction-to-efficient-lower-precision-ai-training/>`_
+* [05/2025] `Advanced Optimization Strategies for LLM Training on NVIDIA Grace Hopper <https://developer.nvidia.com/blog/advanced-optimization-strategies-for-llm-training-on-nvidia-grace-hopper/>`_
 * [03/2025] `Stable and Scalable FP8 Deep Learning Training on Blackwell | GTC 2025 <https://www.nvidia.com/en-us/on-demand/session/gtc25-s72778/>`_
 * [03/2025] `Measure and Improve AI Workload Performance with NVIDIA DGX Cloud Benchmarking <https://developer.nvidia.com/blog/measure-and-improve-ai-workload-performance-with-nvidia-dgx-cloud-benchmarking/>`_