Format acknowledgements section

Added horizontal rule and italic formatting to the acknowledgements
section for better visual separation and styling.

Signed-off-by: Bram Wasti <[email protected]>

Author: bwasti

_posts/2025-11-10-bitwise-exact-rl.md

@@ -54,5 +54,6 @@ Then, we wrote a generic reinforcement learning script using GSM8K and a correct
 
 While building this, testing was straightforward as we are able to use exact bitwise checks to ensure the forward logprobs and the perplexity generated by the trainer are identical.  We will continue to improve the performance of vLLM and simplify the integration to support all TorchTitan models.  To follow this work, please see the linked RFC: [#28326](https://github.com/vllm-project/vllm/issues/28326).
 
-Acknowledgements
-Bram Wasti, Teja Rao, Paul Zhang, Tianyu Liu, Zhuohan Li, Natalia Gimelshein
+---
+*Acknowledgements:
+Bram Wasti, Teja Rao, Paul Zhang, Tianyu Liu, Zhuohan Li, Natalia Gimelshein*