This repository contains an implementation of gradient descent for linear regression using Python. The purpose of this project is to demonstrate how gradient descent can be used to optimize a simple ...

Gradient descent is a fundamental optimization algorithm widely used in machine learning and numerical optimization. It is employed to minimize a cost function iteratively by adjusting the parameters ...

While building a deep learning model there are a lot of different things we need to define. First building the model with input layers followed by different dense layers and at last the output layer.

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...