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realAsma
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### What does this PR do? Type of change: documentation. Adds the AutoQuantize technical blog to the announcements system introduced by #1971. - Preserves the source derivation, deployment-aware search details, results, usage example, and references in native Sphinx RST. - Adds the MMLU accuracy-versus-effective-bits figure as a losslessly optimized asset. - Adds a newest-first landing-page card and AutoQuantize filter. - Credits the authors in this order: Asma Beevi K T, Wei Ming, Frida Hou, Juhi Mittal, Jenny Chen, Ajinkya Rasane, Meng Xin. This is a stacked PR targeting the branch for #1971. After #1971 merges, this PR can be retargeted to main. ### Usage N/A; documentation only. ### Testing - Focused pre-commit hooks on all three changed files. - git diff --check. - Focused Sphinx HTML build for the announcement and landing page. - Rendered-output checks for equations, table, Python code block, image and alt text, references, external links, card, filter, and exact author order. - Full fail-on-warning build was attempted; remaining warnings were unrelated optional autodoc environment warnings. ### Before your PR is "Ready for review" - Is this change backward compatible?: ✅ - If you copied code from any other sources or added a new PIP dependency, did you follow guidance in CONTRIBUTING.md: N/A - Did you write any new necessary tests?: N/A - Did you update Changelog?: N/A - Did you get Claude approval on this PR?: N/A ### Additional Information Depends on #1971. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Documentation** - Added a comprehensive announcement introducing AutoQuantize for gradient-based mixed-precision optimization. - Documented sensitivity scoring, effective-bits cost modeling, deployment-aware grouping, benchmark results, usage examples, future plans, and references. - Added the announcement to the documentation homepage with an August 24, 2026 release card from the Model Optimizer Team. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: realAsma <akuriparambi@nvidia.com>