Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Microsoft’s Copilot generative AI is popping up on the web, in mobile apps, in the Edge browser, and especially in Windows. But just what exactly is it? Here’s everything you need to know. I've been ...

Grok, the chatbot from Elon Musk’s AI company, xAI, has gained a canvas-like feature for editing and creating documents and basic apps. Called Grok Studio, the feature was announced on X late Tuesday.

J.Crew and Barbour may hail from opposite sides of the Atlantic, however, the two brands share an overlapping heritage in preppy fashion and agrarian workwear. In other words, you’re just as likely to ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...