Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...

Abstract: With the rapid development of artificial intelligence (AI) technology, its applications in the field of education are becoming increasingly widespread. This paper aims to explore how AI can ...

Abstract: This paper discusses a practical approach to learning the basic principles of control engineering using DSP-based motor control. Laboratory work utilising microcontrollers for signal ...

While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle with long and complex tasks because they lack the ability to plan ...

When parents first hear the phrase Specially Designed Instruction (SDI), it can feel overwhelming and abstract. You might wonder, “Okay, but what does that actually look like in a classroom?” The ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

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 ...

Civil engineers, one of the oldest professions on record, are tasked to utilize their skills and knowledge to create smart infrastructure for the public. Throughout the years, civil engineers have ...