Tag: practical implications
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The Cloudflare Blog: How we train AI to uncover malicious JavaScript intent and make web surfing safer
Source URL: https://blog.cloudflare.com/how-we-train-ai-to-uncover-malicious-javascript-intent-and-make-web-surfing-safer/ Source: The Cloudflare Blog Title: How we train AI to uncover malicious JavaScript intent and make web surfing safer Feedly Summary: Learn more about how Cloudflare developed an AI model to uncover malicious JavaScript intent using a Graph Neural Network, from pre-processing data to inferencing at scale. AI Summary and Description: Yes…
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Hacker News: Nvidia Dynamo: A Datacenter Scale Distributed Inference Serving Framework
Source URL: https://github.com/ai-dynamo/dynamo Source: Hacker News Title: Nvidia Dynamo: A Datacenter Scale Distributed Inference Serving Framework Feedly Summary: Comments AI Summary and Description: Yes Summary: NVIDIA Dynamo is an innovative open-source framework for serving generative AI models in distributed environments, focusing on optimized inference performance and flexibility. It is particularly relevant for practitioners in Cloud…
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Cloud Blog: Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/accelerate-ai-in-healthcare-nvidia-bionemo-gke/ Source: Cloud Blog Title: Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE Feedly Summary: The quest to develop new medical treatments has historically been a slow, arduous process, screening billions of molecular compounds across decade-long development cycles. The vast majority of therapeutic candidates do not even make it…
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Cloud Blog: Cloud Composer 3: The next generation of data pipeline orchestration
Source URL: https://cloud.google.com/blog/products/data-analytics/cloud-composer-3-for-apache-airflow/ Source: Cloud Blog Title: Cloud Composer 3: The next generation of data pipeline orchestration Feedly Summary: As any data team can tell you, managing Apache Airflow is often a complex undertaking, with many hours spent wrestling with reliability, security, and efficient resource scaling. This valuable time could be better spent deriving insights…