aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium

Preview meta tags from the aws.amazon.com website.

Linked Hostnames

22

Thumbnail

Search Engine Appearance

Google

https://aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium

Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development […]



Bing

Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services

https://aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development […]



DuckDuckGo

https://aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium

Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development […]

  • General Meta Tags

    24
    • title
      Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Artificial Intelligence
    • title
      facebook
    • title
      linkedin
    • title
      instagram
    • title
      twitch

  • Open Graph Meta Tags

    10
    • US country flagog:locale
      en_US
    • og:site_name
      Amazon Web Services
    • og:title
      Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services
    • og:type
      article
    • og:url
      https://aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium/

  • Twitter Meta Tags

    6
    • twitter:card
      summary_large_image
    • twitter:site
      @awscloud
    • twitter:domain
      https://aws.amazon.com/blogs/
    • twitter:title
      Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services
    • twitter:description
      This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development […]

  • Link Tags

    17
    • apple-touch-icon
      https://a0.awsstatic.com/main/images/site/touch-icon-iphone-114-smile.png
    • apple-touch-icon
      https://a0.awsstatic.com/main/images/site/touch-icon-ipad-144-smile.png
    • apple-touch-icon
      https://a0.awsstatic.com/main/images/site/touch-icon-iphone-114-smile.png
    • apple-touch-icon
      https://a0.awsstatic.com/main/images/site/touch-icon-ipad-144-smile.png
    • canonical
      https://aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium/

Emails

1
  • ?subject=Develop%20and%20train%20large%20models%20cost-efficiently%20with%20Metaflow%20and%20AWS%20Trainium&body=Develop%20and%20train%20large%20models%20cost-efficiently%20with%20Metaflow%20and%20AWS%20Trainium%0A%0Ahttps://aws.amazon.com/blogs/machine-learning/develop-and-train-large-models-cost-efficiently-with-metaflow-and-aws-trainium/

Links

104