Category: Engineering
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How to run artificial intelligence more efficiently without sacrificing quality
This article explains practical strategies engineers and product teams can use to reduce compute, energy, and cost for AI systems while keeping model quality intact. You will learn concrete techniques for model design, compression, training and inference operations, and measurement so efficiency improvements are reliable and verifiable.
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Turning real time website carbon numbers into reliable decisions
This article explains what live website carbon metrics actually measure, why they vary, how to validate and compare values, and practical rules to turn noisy signals into alerts, targets and governance that teams can act on.
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Practical testing and deployment tactics for smaller models and smarter prompts
This post shows how engineering teams can decide when to use a smaller model, how to test options reliably, and which prompt patterns and deployment tactics reduce compute while keeping results acceptable for production.
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Reduce website emissions with design performance and engineering
This article shows a practical, role based framework teams can use to lower a website’s greenhouse gas emissions. Readers will learn how to measure emissions, set targets, choose design trade offs, and apply engineering patterns that reduce electricity use without harming usability.