As one of the most popular programming languages out there, many people want to learn Python. But how do you go about getting started? In this guide, we explore everything you need to know to begin your learning journey, including a step-by-step guide and learning plan and some of the most useful resources to help…
In the study of mathematics and physics, concepts like vectors, kernel, Green’s theorem, bulk modulus, and Gauss’s theorem play vital roles in a variety of fields, ranging from fluid dynamics to material science.
Introducing SmolLM3: Small, Efficient, and Highly Capable The AI community continues to push the boundaries of small language models (SLMs), proving that bigger isn’t always better. Today, we’re excited to introduce SmolLM3, a 3B-parameter model that outperforms competitors like Llama-3.2-3B and Qwen2.5-3B while rivaling larger 4B models (Qwen3 & Gemma3). What makes SmolLM3 special? ✅ Multilingual (English, French, Spanish, German, Italian, Portuguese) ✅ 128K long-context support (via NoPE +…
Data science and machine learning require powerful hardware to handle complex computations, large datasets, and AI model training. Whether you’re a student or a professional, choosing the right laptop is crucial for efficiency and future-proofing your investment. Introduction: Why Machine Learning Needs Serious Hardware Machine Learning (ML) involves training algorithms on large datasets to recognize…
How Machine Learning Works: A Beginner’s Guide Machine Learning (ML) is a branch of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. This beginner-friendly guide breaks down the core concepts behind ML, including how models are trained, the difference between supervised and unsupervised learning, and how algorithms…
Introduction As the AI landscape rapidly evolves, vision architectures are undergoing a revolution. We’ve moved beyond CNNs into the age of Vision Transformers (ViTs), hybrid systems like SigLIP, long-sequence models such as Mamba, and powerful multimodal models like Qwen-VL. Then there’s STORM—a new architecture combining selective attention, token reduction, and memory. This blog walks you…
How a Large Language Model (LLM) predicts the next word, including all the mathematical operations involved at each step, with the appropriate vector and tensor manipulations.
Partial Differential Equations (PDEs) are equations involving functions of several variables and their partial derivatives. They arise in various fields such as physics, engineering, economics, and biology. To understand and solve PDEs, it is crucial to first classify them. The classification helps to determine the nature of the equation and the appropriate methods for finding…
In the age of large language models (LLMs), Retrieval-Augmented Generation (RAG) has emerged as one of the most powerful approaches for building intelligent applications. Whether you’re creating a chatbot, a document assistant, or an enterprise knowledge engine, three pillars make RAG work: embedding models, chunking, and vector databases. This article breaks down what they are,…
Partial Differential Equations (PDEs) are fundamental in various fields including physics, engineering, and finance.
