Remove Benchmarking Remove Design Remove Training Remove Tuning
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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

Much of the ML literature focuses on model training, evaluation, and scoring. Dawn Chenette , Design Lead This approach had several benefits for product engineering. In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience. Incredible!”

Media 291
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events.

Tuning 52
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Machine learning systems are stuck in a rut

The Morning Paper

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Performance on accelerators matters because almost all current machine learning research, and most training of production models, uses them.

Systems 87
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CDN Web Application Firewall (WAF): Your Shield Against Online Threats

IO River

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture.

Traffic 52
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CDN Web Application Firewall (WAF): Your Shield Against Online Threats

IO River

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40
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Real-Real-World Programming with ChatGPT

O'Reilly

Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation. I liked how ChatGPT helped me work through the tradeoffs of these initial design decisions before diving head-first into coding.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. I mean that as your scale grows then design patterns and strategies that used to work 2 years ago and allowed you to go from defensive to offensive positioning may buckle under pressure or becomes cost-prohibitive.