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Mixtral 8x22B is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

As for the year in which she sold the car, since we know that Sarah purchased the car in 2024 and used it for 7 years, we can calculate the year as follows: 2024 + 7 = 2031 Therefore, Sarah sold the car in the year 2031. in the year 2031. So, Sarah sold the car for $18,248.33

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Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker

AWS Machine Learning Blog

In AWS, customers regularly use the Amazon FSx for Lustre file system for this purpose (for more details, refer to Speed up training on Amazon SageMaker using Amazon FSx for Lustre and Amazon EFS file systems ), and we also documented the self-managed use of BeeGFS in a distributed computer vision case study.

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