Toto V2 Scales to 2.5B Parameters with Continued Gains
bigdata · x · 2026-07-17
A research/engineering breakthrough in large-scale zero-shot time-series forecasting.
- Focuses on Datadog's Toto V2: Parameter count scaled from 1 亿 to 25 亿, with performance continuing to improve and 没有出现明显饱和.
- This emphasizes a key conclusion: 模型扩展规律不只适用于语言模型，时间序列任务同样受益于 scale-up.
- Link via @atalwalkar summarizing Datadog's related presentation.
Related event: Datadog Releases Toto V2 Time Series Foundation Model(2 posts)→
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