add comments about rlhf on readme (#276)

Signed-off-by: Gerald Shen <geshen@nvidia.com>

README.md

@@ -2,7 +2,7 @@
 
 # Latest News
 - We released Nemotron-4-340B [Base](https://huggingface.co/nvidia/Nemotron-4-340B-Base), [Instruct](https://huggingface.co/nvidia/Nemotron-4-340B-Instruct), [Reward](https://huggingface.co/nvidia/Nemotron-4-340B-Reward). The Instruct and Reward variants are trained in Nemo-Aligner. Please see the [Helpsteer2](https://arxiv.org/abs/2406.08673) paper for more details on the reward model training.
-- We are excited to announce the beta release of accelerated generation support in our RLHF pipeline using [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM). While this feature is still a work in progress, it already provides a significant speedup to RLHF training. For more information, please refer to our [RLHF documentation](https://docs.nvidia.com/nemo-framework/user-guide/latest/modelalignment/rlhf.html).
+- We are excited to announce the release of accelerated generation support in our RLHF pipeline using [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM). For more information, please refer to our [RLHF documentation](https://docs.nvidia.com/nemo-framework/user-guide/latest/modelalignment/rlhf.html).
 - [NeMo-Aligner Paper](https://arxiv.org/abs/2405.01481) is now out on arxiv!
 
 ## Introduction
@@ -22,7 +22,7 @@ The toolkit is currently in it's early stages. We are committed to improving the
 * **Supervised Fine Tuning**
 * **Reward Model Training**
 * **Reinforcement Learning from Human Feedback using the [PPO](https://arxiv.org/pdf/1707.06347.pdf) Algorithm**
-    * [Llama3-70B-PPO-Chat](https://huggingface.co/nvidia/Llama3-70B-PPO-Chat) aligned with NeMo-Aligner.
+    * [Llama3-70B-PPO-Chat](https://huggingface.co/nvidia/Llama3-70B-PPO-Chat) aligned with NeMo-Aligner using TRT-LLM.
 * **Direct Preference Optimization** as described in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://arxiv.org/pdf/2305.18290)
     * [Llama3-70B-DPO-Chat](https://huggingface.co/nvidia/Llama3-70B-DPO-Chat) aligned with NeMo Aligner.
 * **Self-Play Fine-Tuning (SPIN)** as described in [Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models](https://arxiv.org/pdf/2401.01335)