Implementing GPT Architecture From Scratch: A Deep Dive into Transformers and Attention
Mar 6 · 13 min read · I highly recommend to have a knowledge of machine learning models or atleast the basics The Core Idea: Transformers Before transformers, the industry relied on RNNs and LSTMs. The paper "Attention
Join discussion
A Review of Agentic AI and Adaptive A* Algorithm in Modern Intelligent Systems
Mar 3 · 5 min read · Intro To Agentic AI Agentic AI refers to autonomous goal-driven systems that collaborate with other AI agents and use this multi-agent approach to accomplish goals. They are not like the simple AI Age
Join discussionReAct Agent Pattern Explained : AI Reasoning + Action
Dec 31, 2025 · 5 min read · Reasoning + Action Explained in a Simple, Practical Way When we talk about AI agents, the conversation often jumps straight to autonomy, multi-agent systems, and complex architectures. But at the core of many effective agentic systems lies a simple i...
Join discussion
Machine Learning vs Deep Learning: Key Differences
Dec 19, 2025 · 5 min read · AI has revolutionized the way companies operate, but it is still very important to know the difference between Machine Learning (ML) and Deep Learning (DL) in order to be able to make the right technological choices. They are both und...
Join discussionEmbedded Finance May Take Over the FinTech Future
Dec 10, 2025 · 3 min read · The FinTech landscape is evolving rapidly, and one innovation is taking center stage—Embedded Finance. It is changing how people pay, borrow, save, and insure by integrating financial services directly into the everyday apps and platforms they alread...
Join discussionBuilding an Effective Artificial Intelligence (AI) Application for Enterprises
Dec 9, 2025 · 3 min read · In today’s fast-moving digital world, every enterprise wants to use Artificial Intelligence (AI) to improve efficiency, reduce costs, and make smarter decisions. But building a powerful AI application is not just about adding automation—it’s about cr...
Join discussion🏷 AI Models Explained: Clustering Models (K-Means, DBSCAN)
Oct 15, 2025 · 2 min read · 📖 Clustering models are unsupervised learning algorithms that group similar data points together without needing labelled data.They’re widely used in market segmentation, anomaly detection, image analysis, and recommendation systems — helping AI unc...
Join discussion
AI foundations - Implementing machine learning models from scratch
Oct 3, 2025 · 35 min read · It is relatively easy to use a machine learning model, all the math has been abstracted, and you can just call a function and add some parameters to train a model. You can achieve good results from using this plug and play method, you can apply multi...
Join discussion