Artificial Intelligence

Transformer was first introduced in the seminal paper “Attention is All You Need”

Transformer is a neural network architecture that has fundamentally changed the approach to Artificial Intelligence. Transformer was first introduced in the seminal paper “Attention is All You Need” in 2017 and has since become the go-to architecture for deep learning models, powering text-generative models like OpenAI’s GPT, Meta’s Llama, and Google’s Gemini. Beyond text, Transformer is also applied in audio generation, image…

Inner Workings of ChatGPT-4 AI Attention Blocks, Feedforward Networks, and More

Editor2 months ago2 weeks ago05 mins

At its core, ChatGPT-4 is built on the Transformer architecture, which revolutionized AI with its self-attention mechanism. Below, we break down the key components and their roles in generating human-like text. 1. Transformer Architecture Overview The Transformer consists of encoder and decoder stacks, but GPT-4 is decoder-only (it generates text autoregressively). Key Layers in Each Block:…

How Machine Learning Works: A Beginner’s Guide

Editor4 months ago4 months ago04 mins

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…

Types of Machine Learning: A Comprehensive Guide

Editor4 months ago05 mins

Machine Learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn from data and improve over time without explicit programming. ML algorithms are broadly categorized into different types based on their learning approach and application. Understanding these types is crucial for selecting the right model for your problem. In this blog,…

DeepSeek: A Game Changer in the AI Landscape

Editor8 months ago3 weeks ago018 mins

The introduction of DeepSeek has triggered a paradigm shift in the AI landscape. Its ability to outperform existing technologies at a fraction of the cost has sent ripples throughout the tech industry.

Introduction To Large Language Models (LLMs) Course

Editor9 months ago2 weeks ago035 mins

Course on Large Language Models NOTE: You’re only meant to change code marked with “# TODO:” Table of Contents Setting Up API Key Configuration Connecting to OpenAI API Exploring the API Creating Chat Completions Understanding Completion Parameters Prompt Engineering Crafting Effective Prompts Strategies and Best Practices Advanced Techniques Utilizing Embeddings Function Calling in LLMs Extras…

The Mathematics Behind Neural Networks Detailed Derivation of Key Formulas

Editor10 months ago3 weeks ago014 mins

Neural networks are the backbone of modern artificial intelligence (AI), powering applications like image recognition, natural language processing, and autonomous vehicles,

Introduction to Artificial Neural Networks (ANNs): A Comprehensive Guide

Editor10 months ago3 weeks ago013 mins

Artificial Neural Networks (ANNs) are one of the most important advancements in the field of machine learning, inspired by the biological neural networks in the human brain.

Complete Breakdown of Machine Learning (ML)

Editor3 years ago3 weeks ago012 mins

Machine Learning

is a vast and intricate field that requires an understanding of key concepts from mathematics, statistics, programming, and data science. Let’s go through everything step-by-step, from the fundamental maths to the essential skills required to build ML models.