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

As they say, with great power comes great responsibility. This rings especially true in the context of GPT-3 and LLMs. In particularly dynamic and fragile times, it is incredibly important to ensure that we can trust the companies producing these powerful models to have transparent, value-guided leadership.

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

Summary: GPT-3—The Good, the Bad, and the Ugly