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[readme] Update README.md - #99
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📝 WalkthroughWalkthroughREADME now includes a "Our Core Philosophy" section describing operator-level principles for train-inference numerical consistency via deterministic reduction orders and memory efficiency through specialized fused kernels. Pre-commit configuration updated to exclude all docs/assets files from large-file checks. ChangesCore Philosophy Documentation
Pre-commit Configuration
🎯 1 (Trivial) | ⏱️ ~3 minutes
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 inconclusive)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Signed-off-by: vensen <vensenmu@gmail.com>
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Does the term "domestic accelerator" need to be revised?
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I think make sense, maybe we can use : Ascend / Metax / Cambricon, Are these more accurate?
Description
This PR significantly revamps the README.md to clearly communicate RL-Kernel's core value proposition and technical positioning as an industrial-grade infrastructure project.
The previous documentation was slightly too granular regarding PyTorch autograd behaviors. We have elevated the messaging to focus on our macro-level impact and architectural integration.
Key Changes:
This update ensures that infrastructure engineers and researchers can immediately understand where RL-Kernel fits in their stack and why it is essential for scaling GRPO workloads.