This week
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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
This is a working proof that you can run production document AI on a single H100 if you optimize right: fine-grained MoE, difficulty-aware data curation, and production-telemetry-grounded cost metrics. For enterprises stuck between expensive external models and inadequate open-source ones, this shows the playbook. The 80% cost reduction is real, not theoretical.
The research is solid but incremental: it's a controlled ablation study confirming that multimodal models need diverse training data and careful curriculum design to read text in images. Most teams building document-understanding systems already know this from practice. What's useful here is the ablation evidence, which could inform your training recipe if you're training from scratch.