Developing Generative AI Applications with Python and Open AI

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Chris Behrens

2:48:42

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1. Course Overview

1. Course Overview.mp4

01:43

2. Introduction to Large Language Models (LLM) and OpenAI

1. Life Before LLMs.mp4

02:01

2. Large Language Models (LLMs).mp4

03:14

3. The Journey to Large Language Models.mp4

03:20

4. Benefits, Challenges, Applications, Limitations, and E.mp4

06:50

5. About OpenAI.mp4

01:50

6. ChatGPT Demo.mp4

04:08

3. Overview of Generative Pre-trained Transformer (GPT) Models

1. Understanding Generative Pre-Trained Transformer .mp4

02:58

2. Architecture of Large Language Models.mp4

03:53

3. Transformer Architecture in Simpler Words.mp4

02:15

4. Evolution Of GPT Model Family.mp4

03:51

5. Impact of Model Size on Performance.mp4

01:48

6. Basics Of Generative Pre-Trained Transformer (GPT.mp4

03:08

7. Overview of Rival Language Models (LLMs).mp4

02:53

8. Demo From ChatGPT to OpenAI API.mp4

03:26

04. Getting Started with OpenAI APIs

01. Lets Talk APIs.mp4

01:26

02. The OpenAI API at a High Level.mp4

02:36

03. Getting Started - The OpenAI Platform Starter Pack.mp4

02:16

04. Using the OpenAI API with Python.mp4

03:35

05. Using the OpenAI Python Library.mp4

03:41

06. Anatomy of an API Call.mp4

05:21

07. Listing and Retrieving Models.mp4

02:44

08. Model Pricing.mp4

02:21

09. Using the Chat Completions API, Few Shot Learning, Zero Shot Learning, Obj.mp4

05:02

10. Creating Images.mp4

02:09

11. Editing Images.mp4

01:40

12. Image Variations.mp4

01:06

13. Creating Embeddings.mp4

01:28

14. Transcribing Text.mp4

01:49

15. Translating Text.mp4

01:36

16. Moderating Text.mp4

01:23

17. Working With Files.mp4

02:29

05. Mastering Prompt Engineering

01. Prompt This, Prompt That.mp4

01:01

02. Understanding Prompting.mp4

01:50

03. Anatomy of an Effective Prompt.mp4

03:45

04. Tokenization.mp4

04:02

05. The OpenAI Playground.mp4

04:18

06. Prompting Best Practices a.k.a. Crafting Effective Prompts.mp4

03:41

07. Six Best Practices, Starting with Write Clear Instructions.mp4

05:01

08. Provide Reference Text.mp4

01:22

09. Split Complex Tasks into Simpler Subtasks.mp4

02:29

10. Give GPTs Time to Think.mp4

02:33

11. Use External Tools and Test Changes Systematically.mp4

01:30

12. A Few Final Words On Prompt Engineering.mp4

02:06

06. Exploring Practical Applications of Working with the OpenAI API

01. Leveraging The APIs Capabilities - Practica.mp4

00:33

02. Practical Applications of the OpenAI API.mp4

02:03

03. Summarization.mp4

03:37

04. Classification.mp4

03:07

05. Sentiment Analysis.mp4

02:54

06. Named Entity Recognition (NER).mp4

02:04

07. Keyword Extraction.mp4

01:41

08. Language Translation.mp4

02:49

09. Text Parsing.mp4

01:11

10. Paraphrasing.mp4

01:46

11. Real World Applications.mp4

01:02

7. Train your own ChatBot

1. Chatterbots, Chatbots, and the Future.mp4

00:49

2. Usage and Importance of Chatbots.mp4

01:42

3. Building a ChatBot.mp4

04:47

4. Fine Tuning.mp4

02:21

5. Fine Tuning Models.mp4

02:43

8. Future of OpenAI and NLP

1. The Future of OpenAI and NLP.mp4

04:46

2. Exploring Open Challenges.mp4

02:28

3. The Future of Natural Language Processing.mp4

02:04

4. Thank You... And Welcome to the Future.mp4

00:37

Description

Generative AI is a turning point in human history. Those who leverage LLMs will be more productive, creative, efficient, and will be able to achieve more with less. In this course you will learn how to create generative AI applications with the OpenAI API and Python.

What You'll Learn?

Generative AI is a turning point in human history. Those who leverage LLMs will be more productive, creative, efficient, and will be able to achieve more with less. In this course, Developing Generative AI Applications with Python and OpenAI (ChatGPT), you’ll gain the ability to create generative AI applications. First, you’ll learn about the fundamentals of generative AI models, including their architecture, training processes, and applications. At this point you’ll learn how to write good prompts, which is an extremely valuable skill. Next, you’ll familiarize yourself with the OpenAI API and the available models, third you’ll use the API to generate human-like responses to questions or generate content based on your prompts. Moving forward, you will learn how to create a basic chatbot. Finally, you’ll learn how to train a model using your own data. When you’re finished with this course, you’ll have the skills and knowledge of how to create a generative AI application using the OpenAI API and Python.

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Python

Artificial Intelligence

Chris Behrens

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.