Developing Generative AI Applications with Python and Open AI

سرفصل های دوره

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.

1. Course Overview

1. Course Overview

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

1. Life Before LLMs

2. Large Language Models (LLMs)

3. The Journey to Large Language Models

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

5. About OpenAI

6. ChatGPT Demo

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

1. Understanding Generative Pre-Trained Transformer

2. Architecture of Large Language Models

3. Transformer Architecture in Simpler Words

4. Evolution Of GPT Model Family

5. Impact of Model Size on Performance

6. Basics Of Generative Pre-Trained Transformer (GPT

7. Overview of Rival Language Models (LLMs)

8. Demo From ChatGPT to OpenAI API

04. Getting Started with OpenAI APIs

01. Lets Talk APIs

02. The OpenAI API at a High Level

03. Getting Started - The OpenAI Platform Starter Pack

04. Using the OpenAI API with Python

05. Using the OpenAI Python Library

06. Anatomy of an API Call

07. Listing and Retrieving Models

08. Model Pricing

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

10. Creating Images

11. Editing Images

12. Image Variations

13. Creating Embeddings

14. Transcribing Text

15. Translating Text

16. Moderating Text

17. Working With Files

05. Mastering Prompt Engineering

01. Prompt This, Prompt That

02. Understanding Prompting

03. Anatomy of an Effective Prompt

04. Tokenization

05. The OpenAI Playground

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

07. Six Best Practices, Starting with Write Clear Instructions

08. Provide Reference Text

09. Split Complex Tasks into Simpler Subtasks

10. Give GPTs Time to Think

11. Use External Tools and Test Changes Systematically

12. A Few Final Words On Prompt Engineering

06. Exploring Practical Applications of Working with the OpenAI API

01. Leveraging The APIs Capabilities - Practica

02. Practical Applications of the OpenAI API

03. Summarization

04. Classification

05. Sentiment Analysis

06. Named Entity Recognition (NER)

07. Keyword Extraction

08. Language Translation

09. Text Parsing

10. Paraphrasing

11. Real World Applications

7. Train your own ChatBot

1. Chatterbots, Chatbots, and the Future

2. Usage and Importance of Chatbots

3. Building a ChatBot

4. Fine Tuning

5. Fine Tuning Models

8. Future of OpenAI and NLP

1. The Future of OpenAI and NLP

2. Exploring Open Challenges

3. The Future of Natural Language Processing

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

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تولید کننده: PluralSight