Ai In The Browser With Js: Chrome Extensions & Huggingface

Transforming Your Browser into an AI Powerhouse: A Hands-on Guide to Building Intelligent Chrome Ext with Javascript

What you'll learn

Basic Understanding of Artificial Intelligence

Understanding real-world applications of AI in the Browser

Creating Chrome Extensions

Leveraging Hugging Face and Transformer JS

Grasping Machine Learning concepts

Exploring Natural Language Processing (NLP)

Requirements

Basic Programming Knowledge

Familiarity with HTML & CSS

Terminal with Node & NPM installed

Text Editor - (We use Visual Studio Code but can use NotePad++, Atom, or Sublime Text)

Google Chrome Browser

Understanding of Web Browsers

Curiosity and Willingness to Learn

A Computer with Internet Connection

Description

Transform your browser into an AI-powered hub with our course - 'AI in the Browser with JS: Chrome Extensions & Huggingface'. This course is a thrilling ride into the world of Artificial Intelligence, Machine Learning, Natural Language Processing, JavaScript, and Chrome Extensions. It's an adventure where technology meets fun, learning meets application, and you meet the future of browsing.In this hands-on, project-based course, we'll turn your browser into a powerful AI assistant. With JavaScript as our magic wand, Hugging Face as our secret potion, and Chrome Extensions as our playground, we'll bring the wonders of AI to your fingertips.What are we building? We're crafting 'Questionable', an intelligent Chrome Extension that transforms every webpage into a knowledgeable guide. With 'Questionable', you can ask any question about the content you're viewing, and get instant answers powered by AI.This isn't just a course, it's a journey of discovery. We'll explore:Artificial Intelligence (AI): What is AI? How does it work? How is it changing the world?Machine Learning: How do machines learn? What is supervised learning, unsupervised learning, and reinforcement learning?Natural Language Processing (NLP): How do machines understand human language? What are tokenization, named entity recognition, and sentiment analysis?JavaScript (JS): How does JavaScript power the web? What are variables, functions, loops, and events? How does asynchronous JavaScript work?Chrome Extensions: How can we enhance our browser's capabilities? What are background scripts, content scripts, and popups? How can we interact with webpages?Hugging Face and Transformer JS: How can we use pre-trained models in our applications? How does transformer js enable machine learning in the browser?With the help of Transformer JS, a robust library for machine learning in JavaScript, we'll integrate a Hugging Face model into our Chrome Extension. We'll explore how transformer.js provides a smooth bridge between our application and powerful NLP models.This course is designed to be fun, engaging, and accessible for all levels. Following the Feynman Method, we break down complex ideas into simple, understandable concepts. Even if you're a beginner, you'll find the journey enjoyable and the destination achievable.By the end of this course, you'll not only have a working Chrome Extension powered by a state-of-the-art machine-learning model, but you'll also possess a deep understanding of how to harness the power of AI in the browser.Ready for the ride of a lifetime? Join us on this exhilarating journey, and let's code the future together!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Basics of AI, ML, and NLP

Lecture 3 Introduction to Hugging Face and Transformer JS

Lecture 4 Install Chrome, iTerm & VS Code

Lecture 5 Setup Development Extensions

Lecture 6 Primer on JS and Chrome Extensions

Lecture 7 Intro to HF Autocomplete & Huggingface

Lecture 8 Feedback

Section 2: Chrome Extension Code

Lecture 9 Introduction

Lecture 10 Setup Transformer JS Example

Lecture 11 Architecture Overview

Lecture 12 Install Dependencies & Build

Lecture 13 Manifest V3 Review and Configuration

Lecture 14 Understanding Webpack File

Lecture 15 Background.js

Lecture 16 Popup

Lecture 17 Content

Lecture 18 Progress Bar for Initialization

Lecture 19 Returning Data to Context

Section 3: Looking Under the Hood

Lecture 20 Introduction

Lecture 21 Loading a model from Hugging Face

Lecture 22 Configuring the Model

Lecture 23 Token classification

Section 4: Hotkeys, Keyboard Events, & Basic Accessibility

Lecture 24 Introduction

Lecture 25 Question-Answering

Lecture 26 Setting Up a Hotkey Command

Lecture 27 Connecting Results

Lecture 28 Accessibility Basics (Aria Tags, Navigation, Autofocus)

Lecture 29 Click and Keyboard Events

Section 5: Wrapping Up

Lecture 30 Review

Lecture 31 BONUS

Developers: Expanding skills with AI integration.,Students: Gaining practical AI application insights.,AI Enthusiasts: Exploring AI and its potential.,Lifelong Learners: Learning cutting-edge technology hands-on.,Professionals: Understanding AI in browser-based applications.