Tag: user satisfaction

  • Cloud Blog: How to benchmark application performance from the user’s perspective

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/benchmarking-how-end-users-perceive-an-applications-performance/ Source: Cloud Blog Title: How to benchmark application performance from the user’s perspective Feedly Summary: What kind of performance does your application have, and how do you know? More to the point, what kind of performance do your end users think your application has?  In this era of rapid growth and unpredictable…

  • CSA: AI and ML for Implementing Zero Trust Network Access

    Source URL: https://www.zscaler.com/cxorevolutionaries/insights/ai-and-ml-adopting-implementing-and-maturing-zero-trust-network-access Source: CSA Title: AI and ML for Implementing Zero Trust Network Access Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the evolving cyber threat landscape and argues for the adoption of Zero Trust Network Access (ZTNA) enhanced by AI and Machine Learning (ML). It emphasizes the importance of continuous…

  • Hacker News: 0 → 1, Shipping Threads in 5 Months

    Source URL: https://www.infoq.com/presentations/threads-meta/ Source: Hacker News Title: 0 → 1, Shipping Threads in 5 Months Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** This text is an insightful recounting of the development and launch of Meta’s Threads application, highlighting the competitive landscape following Twitter’s changes and the strategic decisions made to…

  • Hacker News: NanoGPT (124M) quality in 3.25B training tokens (vs. 10B)

    Source URL: https://github.com/KellerJordan/modded-nanogpt Source: Hacker News Title: NanoGPT (124M) quality in 3.25B training tokens (vs. 10B) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a modified PyTorch trainer for GPT-2 that achieves training efficiency improvements through architectural updates and a novel optimizer. This is relevant for professionals in AI and…

  • Simon Willison’s Weblog: Quoting Arvind Narayanan and Sayash Kapoor

    Source URL: https://simonwillison.net/2024/Aug/19/arvind-narayanan-and-sayash-kapoor/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Arvind Narayanan and Sayash Kapoor Feedly Summary: With statistical learning based systems, perfect accuracy is intrinsically hard to achieve. If you think about the success stories of machine learning, like ad targeting or fraud detection or, more recently, weather forecasting, perfect accuracy isn’t the goal —…