AWS Machine Learning Blog Implementing hardware resiliency in your training infrastructure is crucial to mitigating risks and enabling uninterrupted model training. By implementing features such as proactive health monitoring and automated recovery mechanisms, organizations can create a fault-tolerant environment capable of handling hardware failures or other issues without compromising the integrity of the training process. […]Continue reading

AWS Machine Learning Blog Amazon Personalize is excited to announce automatic training for solutions. Solution training is fundamental to maintain the effectiveness of a model and make sure recommendations align with users’ evolving behaviors and preferences. As data patterns and trends change over time, retraining the solution with the latest relevant data enables the model […]Continue reading

AWS Machine Learning Blog Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters. Training these LLMs requires significant compute resources […]Continue reading

NIMH News Feed Strengthening Mental Health and Research Training Africa Center to meet the significant child mental health needs of children in Sub-Saharan Africa (specifically disruptive behavioral problems), as well as close the serious service gaps. Go to Source August 30, 2022 – 12:08 am /National Institute of Mental Health Twitter: @hoffeldtcom

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