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Add Slack channels for following bitwise consistency work
Added links to #sig-post-training and #sig-batch-invariant Slack channels in the blog post to help readers follow along with future developments. Signed-off-by: Bram Wasti <[email protected]>
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_posts/2025-11-10-bitwise-consistent-train-inference.md

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@@ -37,6 +37,9 @@ We will continue to push forward on bitwise consistent training and inference. T
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**Wider Model Support** We plan to extend this bitwise-consistent RL framework beyond Qwen3 1.7B to support other open models. We will also generalize the auditing tools and backward implementations to cover a broader range of operator types, making bitwise training-inference consistency a scalable and reusable feature.
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If you'd like to follow along on Slack, please join these channels:
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- [#sig-post-training](https://vllm-dev.slack.com/archives/C07UUL8E61Z)
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- [#sig-batch-invariant](https://vllm-dev.slack.com/archives/C09JVU355CG)
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*Authors:

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