Update README.rst (#806)

Added HF Nanotron to integrations and updated GTC 24 video to ondemand link
Signed-off-by: Santosh Bhavani <santosh@semantic.md>

README.rst

@@ -231,6 +231,7 @@ Transformer Engine has been integrated with popular LLM frameworks such as:
 * `NVIDIA NeMo Framework <https://github.com/NVIDIA/NeMo-Megatron-Launcher>`_
 * `Amazon SageMaker Model Parallel Library <https://docs.aws.amazon.com/sagemaker/latest/dg/model-parallel-core-features-v2-tensor-parallelism.html>`_
 * `Levanter <https://github.com/stanford-crfm/levanter>`_
+* `Hugging Face Nanotron <https://github.com/huggingface/nanotron>`_ - Coming soon!
 * `Colossal-AI <https://github.com/hpcaitech/ColossalAI>`_ - Coming soon!
 * `PeriFlow <https://github.com/friendliai/periflow-python-sdk>`_ - Coming soon!
 * `GPT-NeoX <https://github.com/EleutherAI/gpt-neox>`_ - Coming soon!
@@ -253,7 +254,7 @@ Papers
 Videos
 ======
 
-* `What's New in Transformer Engine and FP8 Training | GTC 2024 <https://register.nvidia.com/flow/nvidia/gtcs24/attendeeportaldigital/page/sessioncatalog/session/1696264811206001TJ7M>`_
+* `What's New in Transformer Engine and FP8 Training | GTC 2024 <https://www.nvidia.com/en-us/on-demand/session/gtc24-s62457/>`_
 * `FP8 Training with Transformer Engine | GTC 2023 <https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51393>`_
 * `FP8 for Deep Learning | GTC 2023 <https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s52166/>`_
 * `Inside the Hopper Architecture <https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42663/>`_