Tag: model versioning
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Cloud Blog: AI/ML-ready Apache Spark with Dataproc
Source URL: https://cloud.google.com/blog/products/data-analytics/dataproc-features-enable-aiml-ready-apache-spark/ Source: Cloud Blog Title: AI/ML-ready Apache Spark with Dataproc Feedly Summary: Apache Spark is the cornerstone for large-scale data processing, model training, and inference for AI/ML workloads. Yet, the complexities of environment configuration, dependency management, and MLOps integration can slow you down. To accelerate your AI/ML journey, Dataproc now delivers powerful, ML-ready…
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Simon Willison’s Weblog: Quoting Ted Sanders
Source URL: https://simonwillison.net/2025/Jun/11/ted-sanders/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ted Sanders Feedly Summary: [on the cheaper o3] Not quantized. Weights are the same. If we did change the model, we’d release it as a new model with a new name in the API (e.g., o3-turbo-2025-06-10). It would be very annoying to API customers if we…