NLP

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

Editor2 weeks ago022 mins

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

Editor1 month ago1 month 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:…

Understanding Transformers: The Mathematical Foundations of Large Language Models

Editor3 months ago3 months ago010 mins

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…

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

Editor3 months ago3 months ago046 mins

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…

Understanding Different Types of LLMs: Distilled, Quantized, and More – A Training Guide

Editor3 months ago3 months ago034 mins

Large Language Models (LLMs) come in various optimized forms, each designed for specific use cases, efficiency, and performance. In this guide, we’ll explore the different types of LLMs (like distilled, quantized, sparse, and MoE models) and how they are trained. In the fast-evolving world of Large Language Models (LLMs), different model types serve different performance and deployment goals…

Types of Machine Learning: A Comprehensive Guide

Editor3 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,…

The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs

Editor8 months ago5 days ago07 mins

Key Concepts Explained Large Language Models (LLMs): – LLMs are sophisticated AI systems designed to understand and generate human language. They are trained on vast amounts of text data, learning the structure and nuances of language, enabling them to perform tasks like translation, summarization, and conversation. Fine-Tuning vs. Pre-Training: – Pre-Training: In this…

Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way

Editor3 years ago5 days ago014 mins

Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way, covering key concepts, types of ML, and model architectures like Transformers, and their applications.