Category: Artificial Intelligence


  • In Part 1 of this series, I built a simple neural network for classification to get comfortable with the basics of deep learning. In Part 2, I created a MiniTokenizer to understand how raw text is transformed into tokens. Now, in Part 3, I am moving one step closer to building a GPT-style model by…

  • In Part 1 of this series, I built a simple neural network for binary and multiclass classification to get comfortable with the fundamentals of deep learning. For Part 2, I shifted focus to something equally important in the world of transformers: tokenization. Transformers do not work directly with raw text. They need text to be…

  • I am starting my journey toward building my own transformer model by first getting comfortable with the basics of neural networks. Before diving into attention mechanisms and large language models, I wanted to build a solid foundation by training a simple neural network on an image classification task. For this first step, I chose the…

  • Building My Own Transformer Model I’ve decided to take on a challenge that’s equal parts exciting and intimidating: building my own open-source transformer model from scratch: something in the spirit of GPT-OSS. Right now, I have basic machine learning skills and a working knowledge of Python. Over the coming weeks and months, I’ll be diving…

  • Breaking Down AI Algorithms: A Guide for Engineers Artificial Intelligence (AI) algorithms form the backbone of modern intelligent systems. For engineers, understanding these algorithms is not just about theory but about applying them to solve real-world problems in domains such as manufacturing, energy, healthcare, and finance. This guide provides a detailed breakdown of AI algorithm…

  • The Role of AI in Modern Business Applications Artificial Intelligence (AI) has moved from being an experimental technology to becoming a core driver of business transformation. According to recent research, 96% of global organizations have deployed AI models in some capacity. From customer service chatbots to predictive analytics in supply chains, AI is reshaping how…

  • Real-World AI Applications That Drive Results Artificial intelligence is no longer a futuristic concept. It is a practical, measurable driver of business value and operational efficiency across industries. From healthcare to logistics, AI is delivering tangible results by automating processes, enhancing decision-making, and creating new customer experiences. This article explores some of the most impactful…

  • 🤖 Demystifying Machine Learning for Beginners: A Practical Guide to Understanding AI’s Most Powerful Tool Machine learning (ML) is everywhere: from the recommendations you get on Netflix to the fraud alerts from your bank. Yet for many beginners, it remains a black box of intimidating jargon and complex math. This guide breaks it down into…

  • 🌐 Future-Proofing Your Career with AI and Cloud: A Strategic Guide for the Next Decade As artificial intelligence (AI) and cloud computing reshape industries at an unprecedented pace, professionals across sectors are asking the same question: How do I stay relevant? The answer lies not in resisting change, but in embracing it: strategically, ethically, and…