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Transformers for Natural Language Processing

Gain insights into transformer models for NLP, including BERT and GPT-3. Delve into prompt design, fine-tuning, training, and using APIs. Explore Python, PyTorch, TensorFlow applications.

Intermediate

137 Lessons

15h

Certificate of Completion

Gain insights into transformer models for NLP, including BERT and GPT-3. Delve into prompt design, fine-tuning, training, and using APIs. Explore Python, PyTorch, TensorFlow applications.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

2 Assessments

97 Playgrounds

16 Quizzes

Course Overview

What You'll Learn

Course Content

Apply Your Skills

Recommendations

Course Overview

The demand for language understanding is on the rise in many fields, such as media, social media, and research papers. Vast amounts of data need to be processed for research, documents need to be translated and summarized for every area of the economy, and social media posts need to be scanned for ethical and legal reasons, among hundreds of other AI tasks whose use is ever-expanding. This course will cover everything from developing code to prompt design, a new programming skill that controls the behavio...Show More

The demand for language understanding is on the rise in many fields, such as media, social media, and research papers. Vast amou...Show More

What You'll Learn

Ability to work with Python, PyTorch, and TensorFlow

Ability to explore and implement transformers, as well as key AI language understanding neural network models

Ability to learn the new skills required to become an Industry 4.0 AI Specialist

Proficiency in Python deep learning and the necessary tools needed to effectively enhance language understanding

Ability to create a transformer-based recommendation system

Ability to work with Python, PyTorch, and TensorFlow

Course Content

Course Introduction

1 Lessons

Get familiar with the transformative impact of models like BERT and GPT-3 in NLP.

Getting Started

Basics of Transformers

6 Lessons

Look at the transformative role of transformer models in modern NLP and Industry 4.0.

Introduction: Basics of Transformers

Transformers and Industry 4.0

The History of Transformers

Resources to Use

Summary: Basics of Transformers

Quiz: Basics of Transformers

Architecture of the Transformer Model

14 Lessons

Examine the transformer's architecture, covering its components, attention mechanisms, and practical applications.

Introduction: Architecture of the Transformer Model

The Rise of the Transformer: Attention Is All You Need

Input Embedding

Positional Encoding

Sublayer 1: Multi-Head Attention

Building Sublayer 1: Multi-Head Attention

Post-Layer Normalization and Sublayer 2: Feedforward Network

The Decoder Stack and Hugging Face

Summary: Architecture of the Transformer Model

Quiz: Architecture of the Transformer Model

Challenge 1: Build a Multi-Head Attention Sublayer

Solution: Build a Multi-Head Attention Sublayer

Challenge 2: Evaluate Positional Encodings of a Sentence

Solution: Evaluate Positional Encodings of a Sentence

Fine-Tuning BERT Models

8 Lessons

Enhance your skills in fine-tuning BERT models for versatile and effective NLP tasks.

Introduction: Fine-Tuning BERT Models

Architecture of BERT

Preparing the Pretraining Input Environment

Pretraining and Setting Up a BERT Model

Configuring and Training a BERT Model

Evaluating a BERT Model

Summary: Fine-Tuning BERT Models

Quiz: Fine-Tuning BERT Models

Pretraining a RoBERTa Model from Scratch

5 Lessons

Take a closer look at building a RoBERTa-like model with customized datasets and Hugging Face tools.

Introduction: Pretraining a RoBERTa Model from Scratch

Preliminary Steps Involved in Building KantaiBERT

Main Steps Involved in Building KantaiBERT

Summary: Pretraining a RoBERTa Model from Scratch

Quiz: Pretraining a RoBERTa Model from Scratch

Downstream NLP Tasks with Transformers

10 Lessons

Follow the process of harnessing transformers for various NLP tasks, benchmarks, and evaluations.

Introduction: Downstream NLP Tasks with Transformers

Transduction and the Inductive Inheritance of Transformers

Evaluating Models with Metrics

Benchmark Tasks and Datasets

SuperGLUE Benchmark Tasks

Running Downstream Tasks

Summary: Downstream NLP Tasks with Transformers

Quiz: Downstream NLP Tasks with Transformers

Challenge: Run Downstream Tasks

Solution: Run Downstream Tasks

Machine Translation with the Transformer

10 Lessons

Build on machine translation using transformers, dataset preprocessing, BLEU evaluation, and practical implementations.

Introduction: Machine Translation with the Transformer

Types of Transductions and Translations

Preprocessing Datasets

Finalizing Data Preprocessing

Evaluating Machine Translation with BLEU

Implementing Translations

Summary: Machine Translation with the Transformer

Quiz: Machine Translation with the Transformer

Challenge: Preprocess and Clean a Czech-English Dataset

Solution: Preprocess and Clean a Czech-English Dataset

The Rise of Transformers with GPT-3 Engines

10 Lessons

Learn how to use GPT-3 to revolutionize natural language processing with advanced transformer models.

Introduction: The Rise of Transformers with GPT-3 Engines

Architecture of OpenAI GPT Transformer Models

Evolving From Fine-Tuning to Zero-Shot Models

Generic Text Completion with GPT-2

Running OpenAI GPT-3 Tasks

NLP Tasks and Examples

Fine-Tuning GPT-3

The Role of an Industry 4.0 AI Specialist

Summary: The Rise of Transformers with GPT-3 Engines

Quiz: The Rise of Transformers with GPT-3 Engines

Applying Transformers for AI Text Summarization

9 Lessons

Get started with transformer models like T5 and GPT-3 for AI text summarization.

Introduction: Applying Transformers for AI Text Summarization

Text to Text Transformer Models

The T5 Model

Text Summarization with T5

Summarizing Documents with T5-Large

Summary: Applying Transformers for AI Text Summarization

Quiz: Applying Transformers for AI Text Summarization

Challenge: Summarize Efficient Solar Panel Breakthroughs

Solution: Summarize Efficient Solar Panel Breakthroughs

10.

Matching Tokenizers and Datasets

6 Lessons

Examine the significance of aligning tokenizers with datasets to enhance transformer model performance.

Introduction: Matching Tokenizers and Datasets

Best Practices

Word2Vec Tokenization

Standard NLP Tasks with Specific Vocabulary

Summary: Matching Tokenizers and Datasets

Quiz: Matching Tokenizers and Datasets

Transformers for NLP—Exam 1

Assessment

12.

Semantic Role Labeling with BERT-Based Transformers

7 Lessons

Break down complex ideas on BERT-based semantic role labeling and its practical uses.

Introduction: Semantic Role Labeling with BERT-Based Transformers

Getting Started with SRL

Basic Samples

Difficult Samples

Questioning the Scope of SRL

Summary: Semantic Role Labeling with BERT-Based Transformers

Quiz: Semantic Role Labeling with BERT-Based Transformers

13.

Your Data Speaks: Story, Questions, and Answers

9 Lessons

Take a closer look at enhancing question-answering with transformers using NER and SRL methods.

Introduction: Your Data Speaks: Story, Questions, and Answers

Method 0: Trial and Error

Method 1: NER First

Method 2: SRL First

Next Steps

Summary: Your Data Speaks: Story, Questions and Answers

Quiz: Your Data Speaks: Story, Questions, and Answers

Challenge: Q&A with Transformers

Solution: Q&A with Transformers

14.

Detecting Customer Emotions to Make Predictions

7 Lessons

Investigate using transformers for sentiment analysis to predict customer behavior and enhance relations.

Introduction: Detecting Customer Emotions to Make Predictions

Sentiment Analysis Transformers

Predicting Customer Behavior with Sentiment Analysis

Sentiment Analysis with Hugging Face Models

Sentiment Analysis with GPT-3

Summary: Detecting Customer Emotions to Make Predictions

Quiz: Detecting Customer Emotions to Make Predictions

15.

Analyzing Fake News with Transformers

7 Lessons

Build on leveraging transformer models to rationally analyze fake news, emphasizing critical thinking.

Introduction: Analyzing Fake News with Transformers

Emotional Reaction to Fake News

Behavioral Representation of Fake News

A Rational Approach to Fake News

A Political Approach to Fake News

Summary: Analyzing Fake News with Transformers

Quiz: Analyzing Fake News with Transformers

16.

Interpreting Black Box Transformer Models

8 Lessons

Learn how to use tools to interpret and visualize transformer model behaviors and predictions.

Introduction: Interpreting Black Box Transformer Models

Transformer Visualization with BertViz

LIT and PCA

Transformer Visualization via Dictionary Learning

Summary: Interpreting Black Box Transformer Models

Quiz: Interpreting Black Box Transformer Models

Challenge: Visualize and Complete Sentences

Solution: Visualize and Complete Sentences

17.

From NLP to Task-Agnostic Transfomer Models

7 Lessons

Walk through the evolution of task-agnostic transformer models, from language to vision processing.

Introduction: From NLP to Task-Agnostic Transformer Models

Choosing a Model and an Ecosystem

Vision Transformers

The CLIP Model

The DALL·E Model

Summary: From NLP to Task-Agnostic Transformer Models

Quiz: From NLP to Task-Agnostic Transformer Models

18.

The Emergence of Transformer-Driven Copilots

8 Lessons

Explore AI copilots, transformer models, prompt engineering, and their diverse applications.

Introduction: The Emergence of Transformer-Driven Copilots

Prompt Engineering

Training in Prompt Engineering

Domain-Specific GPT-3 Engines

Transformer-Based Recommender Systems

Transformers Applied to Computer Vision

Summary: The Emergence of Transformer-Driven Copilots

Quiz: The Emergence of Transformer-Driven Copilots

Transformers for NLP—Exam 2

Assessment

20.

Conclusion

1 Lessons

Gain a comprehensive understanding of transformers in NLP, their evolution, and future advances.

Wrap Up

21.

Appendix

4 Lessons

Solve problems in understanding transformer model terminology, hardware constraints, GPT-2 text generation, and OpenAI API keys.

Terminology of Transformer Models

Hardware Constraints for Transformer Models

Generic Text Completion with GPT-2

Attaining OpenAI API Keys

Course Author

Packt

Project

Vision Transformer for Image Classification

advanced

2 hour

Project

Vision Transformer for Image Classification

Learn to train a Vision Transformer for classifying images from the MNIST dataset, including data preprocessing, augmentation, and evaluation.

advanced

2 hours

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