Create, train, and deploy a billion-parameter language model on terabytes of data with TensorFlow and Amazon SageMaker

Favorite The increasing size of language models has been one of the biggest trends in natural language processing (NLP) in recent years. Since 2018, we’ve seen unprecedented development and deployment of ever-larger language models, including BERT and its variants, GPT-2, T-NLG, and GPT-3 (175 billion parameters). These models have pushed

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Shared by AWS Machine Learning June 14, 2022

Enable business analysts to access Amazon SageMaker Canvas without using the AWS Management Console with AWS SSO

Favorite IT has evolved in recent years: thanks to low-code and no-code (LCNC) technologies, an increasing number of people with varying backgrounds require access to tools and platforms that were previously a prerogative to more tech-savvy individuals in the company, such as engineers or developers. Out of those LCNC technologies,

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Shared by AWS Machine Learning June 14, 2022

How KM delivers value by solving knowledge problems

Favorite Much of the value delivered through Knowledge Management comes as a result of solving problems. “How do you show the value of Knowledge Management?”  Yet another client was asking me the same question – how can you demonstrate the value? I had just quoted to him Shell’s 2007 claim that they

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Shared by Nick Milton June 13, 2022