High Performance WordPress

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Barry Abrahamson

High performance WordPress presentation from WordCamp 2007 by Barry Abrahamson and Matt Mullenweg

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High Performance WordPress Barry Abrahamson Matt Mullenweg July 22, 2007 WordCamp 2007 – San Francisco, CA

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My talk from WordCamp Raleigh 2014 on managing a large WordPress multisite network. Supporting lots of standalone instances of WordPress can be a nightmare. Thankfully there is WordPress Multisite. But is it right for you? And what happens when your WordPress network explodes to include thousands of users and sites? At UNC-Chapel Hill our two WordPress multisite networks (self-serve/enterprise) power over 8,000 sites across a wide range of use cases. During this presentation I primarily explore the technical aspects of running a WordPress multisite network, such as scalability, security, user experience, and administrative challenges. I share tips, lessons learned, and ongoing challenges.

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Speeding up websites is important- Not just to site owners but to all Internet users. In this session, we’ll look at some techniques you can use to speed up your WordPress site including optimizing theme files and database queries, caching and some tips on improving server performance. Note: This talk will be geared towards users who have a basic understanding of theme template files and experience with web development tools, such as Firebug.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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