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How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker

AWS Machine Learning Blog

We have over 50 TB of historical equipment data and expect this data to grow quickly as more HVAC units are connected to the cloud. Data processing and model inference need to scale as our data grows. The remaining 8.4% will be a false alarm. The effective precision of the trained model is 91.6%.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

In this context, such models can take the raw output of sensors that are unlike any human senses, such as 3-D point cloud data from Lidar units on autonomous vehicles, and can combine this with data from other sensors, like vehicle cameras, to better understand the environment around them and to make better decisions.

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!) Neben Supervised Learning kam auch Reinforcement Learning zum Einsatz. ChatGPT basiert auf GPT-3.5 und wurde in 3 Schritten trainiert.

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