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Category: Technical and Skills
How Students Can Use ChatGPT or Bard in Their Coursework
ChatGPT and Bard are large language models (LLMs) that can be used for a variety of tasks, including generating text, translating languages, writing different kinds of creative content, and answering …
Unlocking the Power of AI: Finding Applications in Your Specific Domain of Work
Introduction: Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing industries across the globe. From healthcare to finance, manufacturing to marketing, AI has the potential to streamline processes, enhance …
Bard vs ChatGPT: A Comparison
Bard and ChatGPT are both large language models (LLMs) that have been trained on massive datasets of text and code. They can both generate text, translate languages, write different kinds …
How to Write a CNN Layer Using NumPy
Convolutional neural networks (CNNs) are a type of neural network that are particularly well-suited for image recognition tasks. CNNs work by learning to identify patterns in images, such as edges, …
How to implement a Transformer Layer in Python
Introduction A transformer layer is a fundamental building block of transformer-based neural networks. It consists of two main components: an attention mechanism and a feed-forward network. The attention mechanism allows …
A Step-by-Step Guide to Installing PyTorch with GPU Support in Python
Introduction: PyTorch is a popular machine-learning library that provides fast and easy-to-use tensor computation with GPU acceleration. In this tutorial, we will walk you through the steps to install PyTorch …
Creating a Basic Neural Network Using NumPy in Python
Introduction: Neural networks are powerful models that can learn and make predictions from data. Implementing a basic neural network from scratch helps us understand the inner workings of this technology. …
Why Learning SQL is Important for Data Scientists?
Introduction: In the era of big data, data scientists play a crucial role in extracting meaningful insights from vast amounts of information. While programming languages like Python and R are …
Dealing with Missing Values in a Dataset: A Comprehensive Guide
Introduction: Missing values are a common challenge when working with datasets. They can hinder data analysis and modeling tasks, leading to biased results and inaccurate conclusions. In this blog, we …