Tag: logs
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AWS News Blog: Simplify serverless development with console to IDE and remote debugging for AWS Lambda
Source URL: https://aws.amazon.com/blogs/aws/simplify-serverless-development-with-console-to-ide-and-remote-debugging-for-aws-lambda/ Source: AWS News Blog Title: Simplify serverless development with console to IDE and remote debugging for AWS Lambda Feedly Summary: Developers can now build serverless applications faster through seamless console-to-IDE transition and debugging of functions running in the cloud from local IDE. AI Summary and Description: Yes Summary: The text outlines new…
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AWS News Blog: AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown
Source URL: https://aws.amazon.com/blogs/aws/aws-ai-league-learn-innovate-and-compete-in-our-new-ultimate-ai-showdown/ Source: AWS News Blog Title: AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown Feedly Summary: AWS AI league is a program that helps organizations upskill their workforce by combining fun competition with hands-on learning using AWS AI services. It offers a unique opportunity for both enterprises and…
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Cloud Blog: Go beyond data: Four steps to master enterprise excellence
Source URL: https://cloud.google.com/blog/topics/partners/beyond-data-what-it-takes-to-win-with-ai/ Source: Cloud Blog Title: Go beyond data: Four steps to master enterprise excellence Feedly Summary: Editor’s note: This is the first in a series of five blog posts dedicated to data transformation powered by Google Cloud and its ecosystem of data and analytics partners. Everyone is trying to determine how best to…
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AWS News Blog: Announcing Amazon Nova customization in Amazon SageMaker AI
Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/ Source: AWS News Blog Title: Announcing Amazon Nova customization in Amazon SageMaker AI Feedly Summary: AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across…