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

By developing a proprietary application.


By keeping the technology internal for research purposes.

By providing the technology as an API for developers to build on.


By exclusively focusing on academic benchmarks.

How did OpenAI maximize the impact of GPT-3 technology?

How did OpenAI maximize the impact of GPT-3 technology?

What aspect did the OpenAI team focus on six months before launching the beta version of the API?

What aspect did the OpenAI team focus on six months before launching the beta version of the API?

Quickchat follows a complex process involving conversation trees and scripted scenarios to train Emerson AI.

 Quickchat takes a simple approach where customers provide text containing the information they want the AI to use, and after clicking a "retrain" button, the chatbot is ready for a test conversation.

Quickchat relies on open-source models for training its AI chatbot, considering them a cost-effective alternative to OpenAI API.

Quickchat engages in fine-tuning the models on its own infrastructure, ensuring low latency and high performance.



What is Quickchat's approach to training its AI chatbot, Emerson AI, powered by GPT-3?

What is Quickchat’s approach to training its AI chatbot, Emerson AI, powered by GPT-3?

It logs and saves input data for future use.

It provides an open-source platform for data sharing.



It retains and shares user data for analytics purposes.

It acts as a pass-through API without saving or logging input anywhere.

What is Stenography's approach to data privacy when using the OpenAI API?

What is Stenography’s approach to data privacy when using the OpenAI API?

By keeping a human in the loop during narrative experiments.


How does Fable Studio handle the potential misuse of GPT-3-powered virtual beings?

How does Fable Studio handle the potential misuse of GPT-3-powered virtual beings?

It converts complex queries into simple language.


It generates answers without human intervention.


It offers weekly summaries of customer feedback.


What is the key feature of Viable’s Q&A system powered by GPT-3?

What is the key feature of Viable’s Q&amp;A system powered by GPT-3?

GPT-3 enabled the rapid development of Copysmith by eliminating the need for any fine-tuning.

Copysmith's success was solely attributed to the sisters' marketing experience and not GPT-3.


GPT-3 provided creative assistance in generating calls-to-action and product descriptions for the struggling e-commerce store.


The success of Copysmith was independent of GPT-3, and the tool was introduced later in development.


What pivotal role did GPT-3 play in the transformation of Copysmith and its founders’ e-commerce store, according to Anna Wang?

What pivotal role did GPT-3 play in the transformation of Copysmith and its founders’ e-commerce store, according to Anna Wang?

Startups should primarily focus on leveraging the hype around GPT-3, and investors should prioritize teams with extensive programming backgrounds.


The evaluation should emphasize the startup's ability to generate immediate market traction, and founders must possess deep technical knowledge of GPT-3.


Investors should primarily consider the founders' expertise in technical and AI domains, and the startups must demonstrate a clear defense of their existence.


The crucial aspect is for startups to build a product-led-growth model on top of GPT-3, and founders need to prioritize addressing the needs of end-users over technical understanding.


How does one evaluate startups built on GPT-3, and what key factors should be emphasized during the assessment process?

How does one evaluate startups built on GPT-3, and what key factors should be emphasized during the assessment process?

Let's test your comprehension of the discussed topics.

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 Enabler for Next-Gen Startups