0daytutorial
MyBoerse.bz Pro Member
Nlp & Gpt-4 Masterclass: Real-World Projects For Beginners
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.82 GB | Duration: 5h 28m
NLP, GPT, and LLMs with AI Projects in Content Creation, Chatbots, Sentiment Analysis. Build An Industry-Ready Portfolio
What you'll learn
Install and Learn to Use OpenAI API & GPT-4 with Python
Master NLP fundamentals and advanced transformer models like GPT-4 to power real-world AI solutions.
Use OpenAI API to create interactive chatbots and generate engaging content.
Analyze market sentiment with News API for financial risk assessment
Build a Financial Investment Risk Tool Using Sentiment Analysis
Learn Named Entity Recognition (NER) and build a cutting-edge RAG fact-checker.
Libraries: Hugging Face, NLTK, SpaCy, Keras, Sci-kit Learn, Tensorflow, Pytorch
Deep Learning: Neural Networks, RNN, LSTM Theory & Practical Projects
Cosine-Similarity & Vectors
A Python Guide Chapter For Beginners
No Tedious Anaconda or Jupyter Installs: Use Modern Google Colab Cloud-Based Notebooks for using Python
Linguistics Foundation To Help Learn NLP Concepts
Create An Interactive Storyteller Application With GPT-4, OpenAI API
Requirements
No Tedious Installs
No previous programming knowledge necessary. The lectures slowly explain the python syntax as you code alone with me.
New to Python: you get explanations of the code as you code along with me but not only that - theory slides explain concepts to help you understand what's going on behind the code.
No data science knowledge required: lectures teach how to work with data and key modelling concepts.
No NLP knowledge required. Linguistic concepts are taught to give a strong foundation of NLP even before you get into practical coding. This helps you to grasp NLP modelling techniques and cleaning concepts better.
Description
Master NLP with GPT-4: Practical Projects for BeginnersStep into the exciting world of Natural Language Processing (NLP) with Master NLP with GPT-4! This course is designed for beginners who want to understand and apply the latest AI technologies in real-world scenarios. You will explore hands-on projects, using cutting-edge models like GPT-4, in practical, engaging ways. From creative storytelling to financial analysis, this course covers it all.Badges: You will earn accredited badges for key skills that you can showcase on LinkedIn. What You Will Learn:Understand the fundamentals of NLP, including key concepts like tokenization, embeddings, and attention mechanisms.Gain a deep understanding of transformer models and explore the math behind GPT, including attention, gradient loss, and Markov Models.Learn how to use OpenAI's API in hands-on projects such as a Creative Recipe Generator and a Custom Chatbot for Small Businesses.Master tools like SpaCy for Named Entity Recognition (NER) and explore sentiment analysis using News API to perform financial risk analysis.Develop a Custom Marketing Content Generator using GPT-4 to target specific audiences with engaging messaging.Hands-On Projects:Create an interactive, AI-powered storytelling experience.Build a practical chatbot using data from the Bookstoscrape website.Perform financial risk analysis using sentiment analysis on news articles.Develop a fact-checking tool using Retrieval-Augmented Generation (RAG++).Generate customized marketing content for small businesses.Dive into transformer architecture and concepts like self-attention using creative analogies and projects.Throughout this course, you'll work through practical examples-from setting up Google Colab and learning Python basics to developing advanced AI-driven applications. You'll earn accredited badges for key skills and a completion certificate to boost your portfolio, making you ready to take on real-world challenges in machine learning and NLP.Enroll today to embark on a rewarding journey, add hands-on AI projects to your portfolio, and step confidently into the ever-growing field of NLP and machine learning!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Intro: NLP, Data Science & Machine Learning - Are they different?
Lecture 2 Introducing NLP
Lecture 3 Data Science In The Real World: Part 1
Lecture 4 Data Science In The Real World: Part 2
Lecture 5 NLP In The Real World
Section 3: NLP Pipeline
Lecture 6 An Overview of NLP Methods
Lecture 7 Text Preprocessing
Lecture 8 Text Normalization
Lecture 9 Word Embeddings
Lecture 10 Build a Model, Transfer Learning, Testing & Evaluating a Model
Section 4: Essential Setup for Google Colab: A Step-by-Step Guide (Must-Watch)
Lecture 11 Create and Set Up a New Google Colab Notebook
Lecture 12 Open .IPYNB Files and Locate Course Resources in Google Colab
Lecture 13 Customizing Google Colab Settings: Dark vs. Light Mode and More
Section 5: Learn to Use OpenAI API with GPT-4: A Hands-On Recipe Generator Project
Lecture 14 Install OpenAI & Import Libraries
Lecture 15 Get The OpenAI API Key
Lecture 16 Create A List of Ingredients
Lecture 17 Generate Three Random Ingredients From The List
Lecture 18 Define a Function to Generate Recipes Using GPT-4 and OpenAI API
Lecture 19 Generate and Display a Recipe with GPT-4: Calling the AI Chef Function
Section 6: Interactive Storytelling with GPT-4: Be An Author And Create Your Own Adventure
Lecture 20 Introduction to Interactive Storytelling with GPT-4: Meet Elara's Adventure
Lecture 21 Quick Setup For GPT-4: Install & Insert OpenAI API Key in Colab
Lecture 22 Creating Story Prompts with GPT-4: Defining AI Responses in Python
Lecture 23 Step 1: Start the Interactive Story with GPT-4-Setting the Scene
Lecture 24 Organizing the Story: Splitting into Chapters for Better Flow with GPT-4
Lecture 25 Output The Split Chapters: Organise The Main Character's (Elara) Adventure
Lecture 26 Step 2: Make the Story Interactive-User Input Drives Elara's Adventure
Lecture 27 Step 3: Guide the Main Character's (Elara) Journey: Add User Choices
Lecture 28 Step 3.1: Adding New Story Chapters-Tracking Elara's Adventure
Lecture 29 Make Decisions For Your Story Character (Taught With Harley, My Doggo!)
Lecture 30 Enhancing User's Choices: Character Can Explore, Interact, or Choose Bold Moves
Lecture 31 Reviewing Story Outcomes: See How User Choices Shape Elara's Adventure
Section 7: Python: A Beginner's Guide (Optional)
Lecture 32 Download Resource Workbook For This Section
Lecture 33 What Are Variables And Lists?
Lecture 34 Create Variables
Lecture 35 Create Lists
Lecture 36 IF, ELIF, ELSE Statements
Lecture 37 IF Statements With Multiple Conditions
Lecture 38 Functions: Part 1
Lecture 39 Functions: Part 2
Lecture 40 Python Terminology: Scripts, Modules, Packages, Libraries
Lecture 41 What is A Module
Lecture 42 Create A Module
Section 8: Named Entity Recognition (NER) with SpaCy: Concept & Practical Project
Lecture 43 Why Question Answering Systems Need NER
Lecture 44 Why Chatbots Need NER
Lecture 45 Loading and Initializing SpaCy Pipeline for NER (Practical Part 1)
Lecture 46 Exploring SpaCy NER Attributes: Understanding Entity Details (Practical Part 2)
Section 9: Tokenization & Regular Expressions
Lecture 47 Overview of This Section
Lecture 48 What is Tokenization? Introduction to the Linguistic theory for tokenization.
Lecture 49 Linguistic theory for Word Segmentation.
Lecture 50 The Role of Cliticisation & Contractions in Tokenization
Lecture 51 Tokenization with NLTK
Lecture 52 Use Contractions Library To Expand Clitics
Lecture 53 Introducing Regular Expressions
Lecture 54 Word Segmentation using Python's .split()
Lecture 55 Sentence Segmentation using Python's .split
Lecture 56 ReGex Split Method re.split() Regular Expressions
Lecture 57 Regex Substitute Method re.sub Regular Expressions
Lecture 58 Search Method using Regex re.search | Regular Expressions
Lecture 59 Part 1: Find All Emails in Contact Details | Regular Expressions re.findall()
Lecture 60 Part 2: Find All Emails in Contact Details | Regular Expressions re.findall()
Anyone interested in exploring the world of NLP and Generative AI - This course is perfect for those curious about how language models like GPT-4 work and how they can be applied in the real world.,Business professionals and marketers - Learn to leverage NLP for analyzing customer sentiment, generating custom marketing content, and improving decision-making. Can help at interviews & job promotions.,Beginners in Python or Data Science - If you're planning to take an advanced NLP or data science course but feel intimidated, this foundational course will help you confidently catch up.
