Boreal-H3 utilizes a closed loop system for recursive self-improvement rather than a standard one-off fine-tune. The process uses human-calibrated evaluation to diagnose failures, which then triggers targeted data collection, reinforcement learning, or inference optimization. All experimental results are stored in a shared memory that informs training decisions for subsequent model versions to maintain consistency in product shapes, labels, and dialogue.
Wednesday, October 21, 2026
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Creatify Launches Boreal-H3 for High Fidelity Video Ads
AI21 days ago
An Ad Agent powered by Claude Opus 5.5 can now produce commercials in a single run using a specialized video generation model called Boreal-H3. Creatify developed the model by post-training MiniMax H3 on actual advertising projects, achieving 85.3% reference fidelity, which it identifies as the highest among evaluated frontier models. The system increased brief success rates from 28% to 50%, raised identity match from 83% to 94%, and reduced visible defects per clip by 70%, while cutting generation time and estimated costs by 20%.
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