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

This course includes

2 Assessments

97 Playgrounds

16 Quizzes

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

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

What You'll Learn

Ability to work with Python, PyTorch, and TensorFlow

Course Content

Course Introduction

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

Getting Started

Basics of Transformers

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

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

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

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.

Machine Translation with the Transformer

10 Lessons

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

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.

Applying Transformers for AI Text Summarization

9 Lessons

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

10.

Matching Tokenizers and Datasets

6 Lessons

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

Transformers for NLP—Exam 1

Assessment

11.

Semantic Role Labeling with BERT-Based Transformers

7 Lessons

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

12.

Your Data Speaks: Story, Questions, and Answers

9 Lessons

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

13.

Detecting Customer Emotions to Make Predictions

7 Lessons

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

14.

Analyzing Fake News with Transformers

7 Lessons

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

15.

Interpreting Black Box Transformer Models

8 Lessons

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

16.

From NLP to Task-Agnostic Transfomer Models

7 Lessons

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

17.

The Emergence of Transformer-Driven Copilots

8 Lessons

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

Transformers for NLP—Exam 2

Assessment

18.

Conclusion

1 Lesson

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

19.

Appendix

4 Lessons

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

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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