Tired of abstract theory? This tutorial shows you how to implement vector search without relying on external libraries.
Author Archive | Kanwal Mehreen
Loss Functions Explained: Understand the Maths in Just 2 Minutes Each
A concise and approachable explanation of loss functions for beginners.
Creating a Secure Machine Learning API with FastAPI and Docker
Learn how to turn your machine learning model into a safe and scalable API using FastAPI and Docker.
Automate Dataset Labeling with Active Learning
Why label thousands of data points when your model can tell you exactly which ones it needs?
The Roadmap for Mastering Language Models in 2025
Learning advanced concepts of LLMs includes a structured, stepwise approach that includes concepts, models, training, and optimization as well as deployment and advanced retrieval methods. This roadmap presents a step-by-step method to gain expertise in LLMs.
The Roadmap for Mastering Machine Learning in 2025
Machine learning (ML) is now a part of our daily lives, from the voice assistants on our mobiles to advanced robots performing tasks similar to humans. It has transformed many sectors like healthcare with tools to assist doctors in diagnosing diseases, the automobile industry by introducing self-driving cars, retail by enhancing customer experiences through personalized […]
5 Beginner-Friendly Projects to Learn LLMs & RAG
I believe in the ‘learning by doing’ approach—you learn more this way. However, as a beginner, you need to be careful not to overwhelm yourself by jumping into a complex project too soon. To help you get comfortable working with LLMs and RAG, I’ll be sharing 5 different projects that are perfect for beginners. The […]
Building a Graph RAG System: A Step-by-Step Approach
Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it as well. But what exactly is Graph RAG, and what has made it so popular? In this article, we’ll explore the concept behind Graph RAG, why it’s needed, and, as a bonus, we’ll […]
10 Machine Learning Algorithms Explained Using Real-World Analogies
When I was in high school and studied complex mathematics problems, I always used to think about why we were studying them or why they were useful. I was unable to understand and find their usage in the real world. Since machine learning is also a trending topic that many people want to explore, the […]
Training Stable Diffusion with Dreambooth
Stable Diffusion is trained on LAION-5B, a large-scale dataset comprising billions of general image-text pairs. However, it falls short of comprehending specific subjects and their generation in various contexts (often blurry, obscure, or nonsensical). To address this problem, fine-tuning the model for specific use cases becomes crucial. There are two important fine-tuning techniques for stable […]