Format latest news as a dropdown list

* Uses embedded html to format news to dropdown, hiding lengthy details
* Fixes formatting of the title

Signed-off-by: Shashank Verma <shashankv@nvidia.com>

README.rst

@@ -36,34 +36,44 @@
 .. _main-readme:
 
 **NVIDIA NeMo Framework**
-===============
+=========================
+
 
 Latest News
 -----------
 
-`Accelerate your generative AI journey with NVIDIA NeMo framework on GKE <https://cloud.google.com/blog/products/compute/gke-and-nvidia-nemo-framework-to-train-generative-ai-models/>`_ (2024/03/16)
-
-An end-to-end walkthrough to train generative AI models on the Google Kubernetes Engine (GKE) using the NVIDIA NeMo Framework is available at https://github.com/GoogleCloudPlatform/nvidia-nemo-on-gke. The walkthrough includes detailed instructions on how to set up a Google Cloud Project and pre-train a GPT model using the NeMo Framework.
+.. raw:: html
 
+   <details>
+     <summary><a href="https://cloud.google.com/blog/products/compute/gke-and-nvidia-nemo-framework-to-train-generative-ai-models">Accelerate your generative AI journey with NVIDIA NeMo framework on GKE</a> (2024/03/16) </summary>
 
-`Bria Builds Responsible Generative AI for Enterprises Using NVIDIA NeMo, Picasso <https://blogs.nvidia.com/blog/bria-builds-responsible-generative-ai-using-nemo-picasso/>`_ (2024/03/06)
+     An end-to-end walkthrough to train generative AI models on the Google Kubernetes Engine (GKE) using the NVIDIA NeMo Framework is available at https://github.com/GoogleCloudPlatform/nvidia-nemo-on-gke. The walkthrough includes detailed instructions on how to set up a Google Cloud Project and pre-train a GPT model using the NeMo Framework.
+     <br><br>
 
-Bria, a Tel Aviv startup at the forefront of visual generative AI for enterprises now leverages the NVIDIA NeMo Framework. The Bria.ai platform uses reference implementations from the NeMo Multimodal collection, trained on NVIDIA Tensor Core GPUs, to enable high-throughput and low-latency image generation. Bria has also adopted NVIDIA Picasso, a foundry for visual generative AI models, to run inference.
+   </details>
 
+   <details>
+     <summary><a href="https://blogs.nvidia.com/blog/bria-builds-responsible-generative-ai-using-nemo-picasso/">Bria Builds Responsible Generative AI for Enterprises Using NVIDIA NeMo, Picasso</a> (2024/03/06) </summary>
 
-`New NVIDIA NeMo Framework Features and NVIDIA H200 <https://developer.nvidia.com/blog/new-nvidia-nemo-framework-features-and-nvidia-h200-supercharge-llm-training-performance-and-versatility/>`_ (2023/12/06)
+     Bria, a Tel Aviv startup at the forefront of visual generative AI for enterprises now leverages the NVIDIA NeMo Framework. The Bria.ai platform uses reference implementations from the NeMo Multimodal collection, trained on NVIDIA Tensor Core GPUs, to enable high-throughput and low-latency image generation. Bria has also adopted NVIDIA Picasso, a foundry for visual generative AI models, to run inference.
+     <br><br>
+   </details>
 
-NVIDIA NeMo Framework now includes several optimizations and enhancements, including: 1) Fully Sharded Data Parallelism (FSDP) to improve the efficiency of training large-scale AI models, 2) Mix of Experts (MoE)-based LLM architectures with expert parallelism for efficient LLM training at scale, 3) Reinforcement Learning from Human Feedback (RLHF) with TensorRT-LLM for inference stage acceleration, and 4) up to 4.2x speedups for Llama 2 pre-training on NVIDIA H200 Tensor Core GPUs.
+   <details>
+     <summary><a href="https://blogs.nvidia.com/blog/bria-builds-responsible-generative-ai-using-nemo-picasso/">New NVIDIA NeMo Framework Features and NVIDIA H200</a> (2023/12/06) </summary>
 
-.. image:: https://github.com/sbhavani/TransformerEngine/blob/main/docs/examples/H200-NeMo-performance.png
-  :target: https://developer.nvidia.com/blog/new-nvidia-nemo-framework-features-and-nvidia-h200-supercharge-llm-training-performance-and-versatility
-  :alt: H200-NeMo-performance
-  :width: 600
+     NVIDIA NeMo Framework now includes several optimizations and enhancements, including: 1) Fully Sharded Data Parallelism (FSDP) to improve the efficiency of training large-scale AI models, 2) Mix of Experts (MoE)-based LLM architectures with expert parallelism for efficient LLM training at scale, 3) Reinforcement Learning from Human Feedback (RLHF) with TensorRT-LLM for inference stage acceleration, and 4) up to 4.2x speedups for Llama 2 pre-training on NVIDIA H200 Tensor Core GPUs.
 
+     <a href="https://developer.nvidia.com/blog/new-nvidia-nemo-framework-features-and-nvidia-h200-supercharge-llm-training-performance-and-versatility"><img src="https://github.com/sbhavani/TransformerEngine/blob/main/docs/examples/H200-NeMo-performance.png" alt="H200-NeMo-performance" style="width: 600px;"></a>
+     <br><br>
+   </details>
 
-`NVIDIA now powers training for Amazon Titan Foundation models <https://blogs.nvidia.com/blog/nemo-amazon-titan/>`_ (2023/11/28)
+   <details>
+     <summary><a href="https://blogs.nvidia.com/blog/nemo-amazon-titan/">NVIDIA now powers training for Amazon Titan Foundation models</a> (2023/11/28) </summary>
 
-NVIDIA NeMo framework now empowers the Amazon Titan foundation models (FM) with efficient training of large language models (LLMs). The Titan FMs form the basis of Amazon’s generative AI service, Amazon Bedrock. The NeMo Framework provides a versatile framework for building, customizing, and running LLMs.
+     NVIDIA NeMo framework now empowers the Amazon Titan foundation models (FM) with efficient training of large language models (LLMs). The Titan FMs form the basis of Amazon’s generative AI service, Amazon Bedrock. The NeMo Framework provides a versatile framework for building, customizing, and running LLMs.
+     <br><br>
+   </details>
 
 
 Introduction