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
Introduction to Regression in Deep Learning Regression is a fundamental concept in machine learning and deep learning, where the goal is to predict continuous values. From predicting house prices to forecasting stock trends, regression models serve as the backbone of many practical applications. Deep learning, with its ability to handle complex and high-dimensional data, takes … Read more
Introduction Deep learning has witnessed significant advancements over the decades, and LeNet-5 stands out as a foundational milestone. Developed by Yann LeCun and his collaborators in 1998, LeNet-5 was a revolutionary convolutional neural network (CNN) that demonstrated the power of convolutional architectures for tasks like handwritten digit recognition. Its contributions to the field of deep … Read more
In the world of DevOps, containerization has become a transformative technology, reshaping how applications are developed, deployed, and managed. By packaging software in “containers,” teams can create isolated environments that bundle an application with its dependencies, allowing for consistent operation across various environments. This guide will dive into how containerization works in DevOps, its advantages, … Read more
