Tag: training
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Cloud Blog: ¡Hola Mexico! Google Cloud region in Querétaro now open
Source URL: https://cloud.google.com/blog/products/infrastructure/google-cloud-announces-41st-cloud-region-in-mexico/ Source: Cloud Blog Title: ¡Hola Mexico! Google Cloud region in Querétaro now open Feedly Summary: Google Cloud is delighted to announce the opening of our 41st cloud region in Querétaro, Mexico. This marks our third cloud region in Latin America, joining Santiago, Chile, and São Paulo, Brazil. From Querétaro, we’ll provide fast,…
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AWS News Blog: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes
Source URL: https://aws.amazon.com/blogs/aws/accelerate-foundation-model-training-and-fine-tuning-with-new-amazon-sagemaker-hyperpod-recipes/ Source: AWS News Blog Title: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes Feedly Summary: Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance. AI Summary and Description: Yes **Summary:**…
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AWS News Blog: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Source URL: https://aws.amazon.com/blogs/aws/use-amazon-q-developer-to-build-ml-models-in-amazon-sagemaker-canvas/ Source: AWS News Blog Title: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas Feedly Summary: Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market. AI Summary and Description: Yes **Summary:** Amazon Q Developer, newly available…
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AWS News Blog: Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance
Source URL: https://aws.amazon.com/blogs/aws/maximize-accelerator-utilization-for-model-development-with-new-amazon-sagemaker-hyperpod-task-governance/ Source: AWS News Blog Title: Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance Feedly Summary: Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams. AI Summary and Description: Yes Summary: The announcement of Amazon SageMaker HyperPod task governance focuses on…
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AWS News Blog: Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans
Source URL: https://aws.amazon.com/blogs/aws/meet-your-training-timelines-and-budgets-with-new-amazon-sagemaker-hyperpod-flexible-training-plans/ Source: AWS News Blog Title: Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans Feedly Summary: Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets. AI Summary and Description: Yes **Summary:** The announcement…
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Hacker News: Certain names make ChatGPT grind to a halt, and we know why
Source URL: https://arstechnica.com/information-technology/2024/12/certain-names-make-chatgpt-grind-to-a-halt-and-we-know-why/ Source: Hacker News Title: Certain names make ChatGPT grind to a halt, and we know why Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the operational nuances of OpenAI’s ChatGPT, particularly how certain names trigger output filtering within the model. This behavior illustrates potential challenges related to AI…
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The Register: GitHub’s boast that Copilot produces high-quality code challenged
Source URL: https://www.theregister.com/2024/12/03/github_copilot_code_quality_claims/ Source: The Register Title: GitHub’s boast that Copilot produces high-quality code challenged Feedly Summary: We’re shocked – shocked – that Microsoft’s study of its own tools might not be super-rigorous GitHub’s claim that the quality of programming code written with its Copilot AI model is “significantly more functional, readable, reliable, maintainable, and…