Researchers uncovered hidden biases in ChatGPT’s assessment of people from different places. See how the chatbot ranked your ...
The linter designed for JavaScript brings several changes, including new options for the RuleTester API and an update in ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Cybersecurity researchers have discovered two malicious Microsoft Visual Studio Code (VS Code) extensions that are advertised as artificial intelligence (AI)-powered coding assistants, but also harbor ...
Google made another change to the JavaScript SEO documentation help document to explain and clarify JavaScript execution on non-200 HTTP status codes. The change. Google wrote, “All pages with a 200 ...
Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...
Why it matters: JavaScript was officially unveiled in 1995 and now powers the overwhelming majority of the modern web, as well as countless server and desktop projects. The language is one of the core ...
A critical vulnerability in the popular expr-eval JavaScript library, with over 800,000 weekly downloads on NPM, can be exploited to execute code remotely through maliciously crafted input. The ...
The web-based App Store browser Apple introduced Tuesday had some rookie mistakes in its implementation, which has led to the front-end source code getting published on GitHub. The result is a set of ...
F5 was recently targeted by state-sponsored threat actors who managed to steal sensitive information from the company’s systems. The security and application delivery solutions provider revealed in an ...
This month’s theme is: Keep an eye on the future but hone your coding craft in the now. Start here, with nine timeless JavaScript coding concepts, a look at Nitro.js—fast becoming the go-to server ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
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