How to Implement Function Calling for the Tiny LLaMA 3.2 1B Model

How to Implement Function Calling for the Tiny LLaMA 3.2 1B Model

Introduction In recent years, large language models have become a crucial part of software development, providing an array of functionalities that enhance user interactions and automate tasks. The Tiny LLaMA 3.2 1B model, a smaller yet powerful variant of the LLaMA series, allows developers to implement advanced capabilities, such as function calling, to improve functionality … Read more

The Foundation of Convolutional Neural Networks

Neural Networks

Convolutional Neural Networks: Convolutional Neural Networks (CNNs) have revolutionized the field of deep learning, particularly in areas like image recognition and computer vision. Among the pioneering architectures, LeNet-5 holds a special place as the foundation upon which modern CNNs have been built. Proposed by Yann LeCun and his team in 1998, LeNet-5 marked a significant … Read more

What are CSS preprocessors, and why use them?

What are CSS preprocessors

In the world of front-end development, writing clean, scalable, and maintainable CSS can sometimes be challenging, especially as projects grow. This is where CSS preprocessors come in. They bring extra power and flexibility to CSS, making it easier for developers to manage complex stylesheets. What Is a CSS Preprocessor? A CSS preprocessor is a scripting … Read more

How does JavaScript asynchronous behavior work?

JavaScript

JavaScript, as a language, is known for its single-threaded nature, meaning it can only execute one line of code at a time. Despite this, JavaScript has an impressive ability to handle multiple tasks simultaneously through asynchronous behavior. Asynchronous JavaScript is what enables tasks like network requests, timers, and file I/O to run without blocking the … Read more

Image Enhancement: Top 10 Techniques in Deep Learning

Image Enhancement Techniques in Deep Learning

In image processing, deep learning has emerged as a powerful tool for enhancing images. Whether it’s sharpening blurry images, denoising photos, or improving image resolution, deep learning techniques have revolutionized the way we perceive and manipulate visual data. 1. Super-Resolution Super-resolution aims to enhance the resolution of an image, increasing its clarity and detail. Deep … Read more