WHAT IF YOU COULD PREDICT THE FUTURE?

@sadie.ontech

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Promoted product

TimesFM

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. - google-research/timesfm

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Why it worked

The video effectively leveraged the intrigue of predicting the future and the credibility of Google's release of an open-source AI model. By explaining its capabilities and ease of use with clear visuals and a concise explanation, it appealed to a broad audience interested in AI and data forecasting.

Summary

The video introduces TimesFM, an open-source time series forecasting model released by Google. It highlights the model's ability to predict various data types with zero fine-tuning due to its pre-training on a massive dataset, making it accessible for researchers, developers, and businesses.

Structure

1Introduction to predicting the future with TimesFM
2Explanation of TimesFM's capabilities and versions
3Demonstration of its pre-training and ease of use

Original caption

Google just released TimesFM, an open source time series forecasting model that predicts everything from stock prices to weather with zero fine-tuning. Built on massive real-world data, it’s a game-changer for researchers and businesses looking for reliable future insights. #timesfm #googletech #timeseriesforecasting #machinelearning #openai

More from @sadie.ontech

Product placement

TimesFM: A decoder-only foundation model for time-series forecasting. It acts by bringing the zero-shot generalization of large language models to the world of forecasting. It is spoken and shown on screen. Removing it would change what happens in the video. Google: It is mentioned as the creator of TimesFM. It merely appears as a logo and is spoken. Removing it would not change what happens in the video. TimesFM 2.0, TimesFM 2.5: These are versions of the TimesFM model. They merely appear on screen. Removing them would not change what happens in the video.

Call to action

Go check out TimesFM on GitHub and start predicting your future today.

On-screen text

WHAT IF YOU COULD PREDICT THE FUTURE? GOOGLe JUST RELEASED TIMES ALIGNMENT PROCESS FROM AN YOU FORECAST ANYTHING OVER TimesFM 2.0 439 Million Parameters TimesFM 2.5 224 Million Parameters RETAIL 200 Million Parameters IF SERIES CAN PREDICT IT AND HERE'S WHAT MAKES IT WILD IT WAS PRE-TRAINED ON A MASSIVE DATA SET OF REAL WORLD TIME SERIES DATA OUT ZERO FINE TUNING NEEDED YOUR HISTORICAL DATA WHAT'S GOOGLe FOR INTERNAL USE FIRST SO POWERFUL TO OPEN FOR RESEARCHERS DEVELOPERS BUSINESSES ANYONE CAN USE IT Fusion Logic: xreg_mode Mode 1: xreg + timesfm (Default) Covariates Predictable Baseline Linear Regression Residual Noise Target Series WE'RE A FOUNDATION MODEL FOR TIME THE SAME WAY GPT IS A FOUNDATION DATA CORRUPTION PROCESS HIGH VOLTAGE DISCHARGE THIS DEAL GO CHECK OUT TIMES FM ON GITHUB

Transcript

What if you could predict the future? Google just released TimesFM, an open source time series forecasting model that predicts everything from stock prices to weather with zero fine-tuning. Built on massive real-world data, it’s a game-changer for researchers and businesses looking for reliable future insights. TimesFM 2.0, 439 million parameters. TimesFM 2.5, 224 million parameters. Stock prices, energy demand, weather patterns, retail sales. If it's a time series, this model can predict it. And here's what makes it wild. It was pre-trained on a massive dataset of real-world time series data. So it works out of the box. Zero fine-tuning needed. You just feed it your historical data. What's Google built this for internal use first. So powerful, they decided to open source it for researchers, developers, businesses. Anyone can use it. We're talking about a foundation model for time, the same way GPT is a foundation model for language. This is a huge deal. Go check out TimesFM on GitHub and start predicting your future today.

GLM 5.2 just launched and it’s redefining open source AI models with 10x better

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