Prompt Engineering with ChatGPT API

Focused View

Jose M Hernandez

1:13:54

242 View

1. Introduction

1. Introduction.mp4

02:32

2. Definition of Prompt Engineering and LLMs.mp4

02:35

3. What is an API.mp4

02:25

2. What is new

1. Features.mp4

01:13

2. Snapchat.mp4

01:35

3. Quizlet.mp4

02:16

4. Instacard.mp4

02:06

5. Shopify.mp4

01:56

3. ChatGPT Model

1. Previous models.mp4

03:19

2. GPT 3.5 Turbo.mp4

02:01

4. ChatGPT API

1. Input.mp4

02:23

2. Output.mp4

01:23

3. Tokens.mp4

02:53

4. Improve.mp4

02:24

5. Chat.mp4

02:39

6. Heads up!.html

7. Hands-on in Jupyter.mp4

03:50

8. Steps to install ChatGPT API.html

5. ChatML

1. Introduction.mp4

03:01

2. Non-chat.mp4

02:07

3. Allowed or disallowed.html

4. Prompting.mp4

02:40

6. Projects in Playground

1. Hotel Virtual Assistant with LLMs.mp4

15:24

2. Airline Virtual Assistant with LLMs.mp4

09:07

7. Conclusion

1. Wrapping up.mp4

02:14

2. Final thoughts.mp4

01:51

Description

Discover the API of the biggest Large Language Model ever released

What You'll Learn?

Understand the basics of API and how it works.
Learn how to interact with an advanced large language model through its API.
Explore the different capabilities of the large language model and how to leverage them through the API.
Develop the skills to use the API for various applications, such as text generation, summarization, translation, and more.

Who is this for?

Anyone interested in ChatGPT

Developers

College students

Sales and marketing professionals

Professors

Data Analysts

Basically anyone, because everyone can take advantage of ChatGPT

More details

Description
In this course, you'll learn how to work with the API of an advanced large language model, specifically ChatGPT. Large language models have revolutionized the field of natural language processing (NLP) and its application to almost any field in our lives. ChatGPT is one of the most famous models, and it has recently released its API.
Through this course, you'll explore the different capabilities of ChatGPT's API. We will see the companies that have had prior access to this model and how they have implemented it in social media, e-learning, shopping, and e-commerce. We will explore what is an API, what are the models that were there before GPT 3.5 Turbo, and how can you access the API through a simple Python code. Then, we will have 3 hands-on projects, one in Jupyter in Python, and two of them using different Playgrounds that OpenAI has released for free. You'll start with the basics of API and then move on to working with ChatGPT's API. You'll gain hands-on experience using JSON files and the new playground by OpenAI. By the end of this course, you'll have a comprehensive understanding of ChatGPT's API and how to use it to achieve outperforming results. You will be able to shape the most powerful Large Language Models into anything that can help you, or your company.Â
This course is designed for anyone interested in working with advanced large language models (ChatGPT) and their API. Even a little experience in Python is recommended to understand this course, everyone could complete the Playground projects. Basic programming knowledge and familiarity with APIs are recommended but not required.
By the end of this course, you'll be able to:
Understand the basics of API
Work with ChatGPT's API to explore its different capabilities
Leverage ChatGPT's API for various NLP applications such as text generation, summarization, and translation
Gain hands-on experience working with JSON files and the new playground by OpenAI.
So, join us and dive into the exciting world of advanced large language models with ChatGPT's API!
Who this course is for:
Anyone interested in ChatGPT
Developers
College students
Sales and marketing professionals
Professors
Data Analysts
Basically anyone, because everyone can take advantage of ChatGPT

User Reviews

Rating

average 0

Total votes0

Focused display

My name is Jose, and I am a seasoned Engineering Linguist at LinkedIn with years of industry experience leading projects in computational linguistics. Prior to LinkedIn, I was a computational linguist with the Google Assistant team, working on cutting-edge virtual assistant technology. With my double degree in English and Spanish linguistics, a Master's in Computational Linguistics, and a strong background in phonetics, I am well-versed in the application of ASR, TTS, and STT to virtual assistants. My expertise also extends to training and working with large-scale machine learning models, bringing a wealth of knowledge and experience to the field.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.