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Google releases TimesFM-3 for multivariate time series forecasting

Google has released TimesFM-3, a new time series foundation model. This third-generation model natively handles multivariate inputs and covariates, unlike its predecessors which were limited to single series. TimesFM-3 generates forecasts in a single forward pass, achieving top performance on several benchmarks. AI

IMPACT This model advances zero-shot forecasting capabilities for multivariate data, potentially improving accuracy in financial and operational predictions.

RANK_REASON Google Research released a new foundation model for time series forecasting.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google releases TimesFM-3 for multivariate time series forecasting

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Google Research released a new foundation model for time series forecasting.
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2 independent sources
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model release, product
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46 days old
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COVERAGE [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Balance- ·

    Google released TimesFM-3, a 330M-parameter time series foundation model with native multivariate forecasting (non-commercial license)

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w6hlpt/google_released_timesfm3_a_330mparameter_time/"> <img alt="Google released TimesFM-3, a 330M-parameter time series foundation model with native multivariate forecasting (non-commercial license)" src="h…

  2. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    Google's latest foundation model, TimesFM-3, introduces native support for interdependent variables and one-pass forecast generation, dominating the ran

    Najnowszy model fundamentalny od Google, TimesFM-3, wprowadza natywną obsługę zmiennych współzależnych i generowanie prognoz w jednym przebiegu, dominując w rankingach wydajności zero-shot. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.…