Unverified50% confidenceFactExact time
fal used a new dataset to post-train H3 Max, with a focus on reinforcing prompt-following capabilities and visual quality performance.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/8/2026
First Seen
Valid until: 12/7/2026
Sources
Related Entities
Related Claims
UnverifiedHY3 introduces improved anti-hallucination techniques, more reliable tool-calling capabilities, and employs higher-quality post-training data and an enhanced reinforcement learning strategy.73% similarUnverified预训练阶段从堆算力堆数据的 Scaling Laws 研究逐渐转向数据质量优化,如 RedPajama、FineWeb 等高质量语料库的出现67% similarUnverifiedThe actual effectiveness of IVT depends on training data quality, the design of the visual thinking objective, and the controllability of the degree of internalization.66% similarVerifiedProviding 3–5 high-quality examples (Few-shot Learning) can generally significantly improve the model's instruction-following accuracy.65% similar
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