The Ultimate Guide to GPT-3: What It Is, How It Works, and Mind-Blowing Applications

Artificial Intelligence is advancing at a breathtaking pace, and OpenAI's GPT-3 is at the center of this revolution. If you have been hearing the buzz around GPT-3 but aren't quite sure what it does or why it's so groundbreaking, you are in the right place.

In this post, we will break down what GPT-3 is, its massive scale, the data behind it, and some of the most mind-blowing applications developers are building with it today.

What is GPT-3?

GPT-3 stands for Generative Pre-trained Transformer 3. Created by the San Francisco-based AI research lab OpenAI, it is the third generation of their state-of-the-art language prediction models. At its core, GPT-3 is an incredibly powerful AI system designed to understand and generate human-like text based on the prompts it receives.

The Staggering Scale of GPT-3

To understand why GPT-3 is so revolutionary, you just have to look at the numbers. It is significantly larger and more powerful than its predecessors:

• 175 Billion Parameters: GPT-3 was built using a staggering 175 billion machine learning parameters. To put this in perspective, its predecessor, GPT-2, had only 1.5 billion parameters, and Microsoft's Turing NLG had 17 billion. This makes GPT-3 over 100 times larger than GPT-2!
• Massive Computing Power: Training a model of this size is no small feat. It cost an estimated $12 million and required a massive hardware setup of 285,000 CPU cores and 10,000 GPUs.
• The Microsoft Supercomputer: OpenAI partnered with Microsoft to build a dedicated supercomputer specifically to train this colossal model.

What Data Was Used to Train GPT-3?

GPT-3 learned to write and code by consuming a massive chunk of the internet. The model was trained on roughly 45 Terabytes of text data. The dataset composition includes:

• Common Crawl: 60% of the training data.
• WebText2: 22% of the training data.
• Books1 & Books2: 16% of the training data (8% each).
• Wikipedia: 3% of the training data.

Because of this immense training data and its massive parameter count, GPT-3 can perform tasks with incredible accuracy using zero-shot, one-shot, or few-shot examples—meaning you can give it just one or two examples of what you want, and it will figure out the rest.

Mind-Blowing Applications of GPT-3

Since OpenAI gave developers access to the GPT-3 API, the community has built some truly magical applications. Here are a few incredible things GPT-3 can do:

1. Generate Machine Learning Code in Plain English You no longer need to be a coding wizard to build AI models. By simply typing plain English instructions—like "build a model to classify images into 5 groups"—GPT-3 can automatically generate the complete Python code for a Convolutional Neural Network (CNN) using the Keras library.

2. Build Web and Mobile Apps from Descriptions Imagine typing "create an app like Instagram" and watching the AI build it. Developers have used GPT-3 alongside available plugins to generate interactive UI designs—complete with text, video, and photo placeholders—just from a simple text description.

3. Write Complex SQL Queries Data analysis is getting much easier. You can give GPT-3 a simple prompt like, "Find out how many users have signed up since last month," and it will automatically generate the correct, perfectly formatted SQL query for you.

4. Supercharge Excel and Google Sheets GPT-3 can be used as a custom function directly inside spreadsheets. For instance, if you have a list of states and want to find their populations, you can just pass the parameter to GPT-3, and it will automatically populate the cells with the correct population data. It can also do mathematical operations or automatically find the Twitter usernames of specific people.

5. Create a Fully Functional Search Engine You can use GPT-3 to build search engines that return precise answers instead of just a list of links. For example, if you search for exactly what killed Mahatma Gandhi, it will instantly generate the specific factual result.

6. Automated Resume Builders By inputting just a few lines of text about your work experience (e.g., "Software Engineer in Los Angeles from 2018"), GPT-3 can dynamically generate and format a professional resume. If you ask it to make an update, the changes are automatically reflected in the document.

The Future is Just Beginning

While GPT-3 is undeniably powerful, it is still in its early stages. Like any new technology, it has its limitations and can occasionally produce logical errors or biases based on its training data. However, as developers continue to experiment and build with this massive language model, the boundary between human and machine generation will only continue to blur.

Have you tried any applications powered by GPT-3? Let us know what you think in the comments below!