Basics of ChatGPT- What is ChatGPT and AI-

Basics of ChatGPT: What is ChatGPT and AI?, available at $54.99, has an average rating of 4.5, with 17 lectures, based on 2 reviews, and has 4 subscribers.

You will learn about Understanding what ChatGPT is and how to use it. Understand the difference between supervised learning versus unsupervised learning. Learn about the impact AI has on the market and what it means for you. Learn the difference between machine learning versus artificial intelligence. Explore generative AI tools and applications. This course is ideal for individuals who are The course is aimed at anyone interested in AI It is particularly useful for The course is aimed at anyone interested in AI.

Enroll now: Basics of ChatGPT: What is ChatGPT and AI?

Summary

Title: Basics of ChatGPT: What is ChatGPT and AI?

Price: $54.99

Average Rating: 4.5

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: 19.99

Quality Status: approved

Status: Live

What You Will Learn

Understanding what ChatGPT is and how to use it.

Understand the difference between supervised learning versus unsupervised learning.

Learn about the impact AI has on the market and what it means for you.

Learn the difference between machine learning versus artificial intelligence.

Explore generative AI tools and applications.

Who Should Attend

The course is aimed at anyone interested in AI

Target Audiences

The course is aimed at anyone interested in AI

Welcome to “Basics of ChatGPT: What is ChatGPT and AI?”, the ultimate course for anyone interested in building cutting-edge conversational AI systems using one of the most advanced AI models available, ChatGPT.

This comprehensive program is designed to provide you with a deep understanding of ChatGPT, from the fundamentals of its architecture to the intricacies of training and fine-tuning. You’ll explore the various components that make ChatGPT such a powerful conversational AI tool, including its pre-training process, self-attention mechanisms, and transformer architecture.

Through a combination of theory and hands-on exercises, you’ll learn how to build conversational agents that are both intelligent and engaging, and can adapt to a wide range of use cases. You’ll explore the nuances of natural language processing (NLP) and discover how to use ChatGPT to generate responses that are not only contextually relevant, but also highly engaging and human-like.

As part of this program, you’ll also gain practical experience working with real-world datasets, learning how to preprocess, clean and format data to ensure that it’s suitable for training conversational AI models. You’ll discover how to evaluate the performance of your model and fine-tune it to achieve the best possible results, while also exploring some of the key challenges and limitations of conversational AI.

This course is suitable for both beginners and experienced AI developers, and provides a solid foundation in conversational AI development. Whether you’re interested in building chatbots for customer service, designing virtual assistants for healthcare, or creating conversational agents for educational purposes, this course will equip you with the knowledge and skills necessary to take your projects to the next level.

So why wait? Sign up today and start exploring the limitless possibilities of ChatGPT!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Outline

Lecture 2: Introduction

Chapter 2: Generative Artificial Intelligence

Lecture 1: The Difference Between AI and Machine Learning

Lecture 2: Types of machine leaning

Lecture 3: Generative AI Overview

Lecture 4: Types of Generative AI

Lecture 5: AI and Market Impact

Chapter 3: Navigate ChatGPT

Lecture 1: Learn About AI Responses

Lecture 2: Exploring ChatGPT

Lecture 3: Signing Up

Lecture 4: Key Features

Lecture 5: Prompt Engineering

Lecture 6: User Prompts Under The Hood

Lecture 7: Advanced Responses

Lecture 8: Tips for Accurate Responses

Lecture 9: Detecting AI Responses

Chapter 4: Conclusion

Lecture 1: Conclusion

Instructors

Arne Wernien-Wünschmann
Dozent und IT-Ingenieur

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