OPENAI_API_KEY

gpt.tar.gz

Python

Golang

Java

Sandbox

Python_textGen

In this course, you’ll start a transformative learning journey exploring the applications of GPT-3 in AI and gaining hands-on experience with this powerful language model.

You’ll start the course by understanding the basics of GPT-3 and its applications across domains and then learn to use the OpenAI API with Python, Go, and Java. Next, you’ll dive into prompting techniques with GPT-3, exploring essential topics to understand how to use GPT-3 for next-gen startups with real-world use cases and applications. You’ll explore its role in prominent companies like GitHub, Algolia, and Microsoft’s Azure. Lastly, you will navigate the ethical considerations of GPT-3, addressing issues like AI bias, anti-bias countermeasures, and the environmental impact of LLMs.

After completing this course, you’ll gain a deep understanding of GPT-3. Whether you are an aspiring developer, entrepreneur, or professional transitioning to AI-focused roles, this course equips you with the skills to advance your career.

Unleashing the Power of AI with OpenAI’s GPT-3

Restricting API access to specific frameworks

What are some measures taken by OpenAI to address data privacy concerns related to GPT-3?

What are some measures taken by OpenAI to address data privacy concerns related to GPT-3?

 It automatically implements edits without user intervention.


Users have no control over suggested options.


Users can cycle through suggestions and manually edit the code.


 It ignores user edits and follows a predefined coding style.


How does GitHub Copilot adapt to user edits and coding style preferences?


How does GitHub Copilot adapt to user edits and coding style preferences?

Snippets are identical to those in the training set.


There's a code synthesizer rather than a search engine.


Users can select a code snippet for explanation.


Copilot only generates suggestions based on user input.


What aspect of Copilot's architecture ensures data security and privacy?


What aspect of Copilot’s architecture ensures data security and privacy?

What legal challenges did Algolia face when implementing GPT-3 for Algolia Answers?


What legal challenges did Algolia face when implementing GPT-3 for Algolia Answers?

Difficulty in processing document batches

Lack of understanding of customer problems

What challenges does Algolia face with the reader retrieval architecture?

What challenges does Algolia face with the reader retrieval architecture?

Exclusive use of OpenAI's intellectual property assets


 What is highlighted as a key consideration for Microsoft's investment in GPT-3?


What is highlighted as a key consideration for Microsoft’s investment in GPT-3?

GitHub Copilot, Dynamics 365 Customer Service


What are some examples of internal services running on Azure OpenAI Service?

What are some examples of internal services running on Azure OpenAI Service?

The complexity of the machine learning models

The applicability to the business and group needs

According to the advice for enterprises, what should be the first consideration when investigating Azure OpenAI Service?


According to the advice for enterprises, what should be the first consideration when investigating Azure OpenAI Service?

Let's test your understanding of what we've learned in this chapter.

Course Introduction

The Large Language Model Revolution

Getting Started with OpenAI API

GPT-3 and Programming

GPT-3 Enabler for Next-Gen Startups

GPT-3 as the Next Step in Corporate Innovation

GPT-3—The Good, the Bad, and the Ugly

Conclusion—Democratizing Access to AI

GPT-3: Prompt Engineering and Uses

Quiz: GPT-3 as the Next Step in Corporate Innovation