AI in Language and Communication: NLP and GPT-4

Lesson 15 of MDC1213

Slide 1: Title Slide

   AI in Language and Communication: NLP and GPT-4

Slide 2: Course Overview

   Brief summary of the course objectives and lesson topics

Slide 3: Introduction

   The significance of AI in language and communication and its potential impact on various fields

Slide 4: Defining NLP

   Explanation of natural language processing (NLP) and its applications in various fields

Slide 5: NLP Techniques

   Techniques used in NLP, such as text segmentation, part-of-speech tagging, named entity recognition, and sentiment analysis

Slide 6: Speech Recognition

   Understanding speech recognition as a form of NLP

Slide 7: Text-to-Speech Synthesis

   Understanding text-to-speech synthesis as a form of NLP

Slide 8: Machine Translation

   The use of NLP in machine translation and multilingual communication

Slide 9: Chatbots and Conversational AI

   Understanding chatbots and conversational AI as applications of NLP in communication

Slide 10: GPT-4 Overview

   Overview of GPT-4, its features, and its potential applications

Slide 11: GPT-4 Architecture

   Explanation of the architecture of GPT-4 and its underlying technologies

Slide 12: GPT-4 Training

   The training process for GPT-4 and its implications for language and communication

Slide 13: GPT-4 Language Generation

   The capabilities of GPT-4 in generating natural language text

Slide 14: GPT-4 Language Understanding

   The capabilities of GPT-4 in understanding natural language text

Slide 15: GPT-4 and Language Tasks

   The potential applications of GPT-4 in various language tasks, such as text summarization, question answering, and dialogue generation

Slide 16: GPT-4 and Creative Writing

   The potential applications of GPT-4 in creative writing and literary production

Slide 17: GPT-4 and Journalism

   The potential applications of GPT-4 in journalism and news reporting

Slide 18: GPT-4 and Business Communication

   The potential applications of GPT-4 in business communication, such as email generation and customer service

Slide 19: GPT-4 and Education

   The potential applications of GPT-4 in education, such as language tutoring and automated essay grading

Slide 20: GPT-4 and Social Media

   The potential applications of GPT-4 in social media, such as chatbots and personalized content generation

Slide 21: Ethical Considerations

   Ethical considerations in the use and development of NLP and GPT-4

Slide 22: Bias and Fairness

   Addressing issues of bias and fairness in NLP and GPT-4 development and deployment

Slide 23: Privacy and Data Protection

   Addressing privacy concerns in NLP and GPT-4 and data protection

Slide 24: Transparency and Explainability

   Ensuring transparency and explainability in NLP and GPT-4 algorithms

Slide 25: Human-AI Collaboration

   The importance of human-AI collaboration in developing ethical and effective NLP and GPT-4 systems

Slide 26: The Future of AI in Language and Communication

   Predictions for the future of AI in language and communication and its potential impact on various fields

Slide 27: Interdisciplinary Connections

   The connections between AI in language and communication and other fields, such as linguistics, psychology, and computer science

Slide 28: The Importance of Research and Development

   The importance of continued research and development in NLP and GPT-4

Slide 28: Conclusion