Transformer was first introduced in the seminal paper

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…

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UNDERSTANDING TRANSFORMERS

Understanding Transformers: The Mathematical Foundations of Large Language Models

In recent years, two major breakthroughs have revolutionized the field of Large Language Models (LLMs): 1. 2017: The publication of Google’s seminal paper, (https://arxiv.org/abs/1706.03762) by Vaswani et al., which introduced the Transformer architecture – a neural network that fundamentally changed Natural Language Processing (NLP). 2. 2022: The launch of ChatGPT by OpenAI, a transformer-based chatbot…

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HOW LLMs WORK

How do LLMs work from tokenization, embedding, QKV Activation Functions to output

Course Introduction: How Large Language Models (LLMs) Work What You Will Learn: The LLM Processing Pipeline In this course, you will learn how Large Language Models (LLMs) process text step by step, transforming raw input into intelligent predictions. Here’s a visual overview of the journey your words take through an LLM: Module Roadmap  You will…

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Types of Machine Learning A Comprehensive Guide

Types of Machine Learning: A Comprehensive Guide

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,…

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