Understanding GPT-3: OpenAI’s Latest Language Model

Understanding GPT-3: OpenAI’s Latest Language Model

f you have been following the recent developments in the NLP space, then it would be almost impossible to avoid the GPT-3 hype in the last few months. It all started with researchers in OpenAl researchers publishing their paper “Language Models are few Shot Learners” which introduced the GPT-3 family of models. GPT-3’s size and language capabilities are breathtaking, it can create fiction, develop program code, compose thoughtful business memos, summarize text and much more.

1. Introduction

If you have been following the recent developments in the NLP space, then it would be almost impossible to avoid the GPT-3 hype in the last few months. It all started with researchers in OpenAl researchers publishing their paper “Language Models are few Shot Learners” which introduced the GPT-3 family of models.

GPT-3’s size and language capabilities are breathtaking, it can create fiction, develop program code, compose thoughtful business memos, summarize text and much more. Its possible use cases are limited only by our imaginations. What makes it fascinating is that the same algorithm can perform a wide range of tasks. At the same time there is widespread misunderstanding about the nature and risks of GPT-3’s abilities.

To better appreciate the powers and limitations of GPT-3, one needs some familiarity with pre-trained NLP models which came before it. Table below compares some of the prominent pre-trained models:

Image for post

Source: https://medium.com/dataseries/bert-distilbert-roberta-and-xlnet-simplified-explanation-and-implementation-5a9580242c70

Let’s look at some of the common characteristics of the pre-trained NLP models before GPT-3:

i) NLP Pre-Trained models are based on Transformer Architecture

Most of the pre-trained models belong to the Transformer family that use Attention techniques;These models can be divided into four categories:

language-model machine-learning gpt-3 artificial-intelligence nlp

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

AI(Artificial Intelligence): The Business Benefits of Machine Learning

Enroll now at CETPA, the best Institute in India for Artificial Intelligence Online Training Course and Certification for students & working professionals & avail 50% instant discount.

Learning in Artificial Intelligence - Great Learning

What is Artificial Intelligence (AI)? AI is the ability of a machine to think like human, learn and perform tasks like a human. Know the future of AI, Examples of AI and who provides the course of Artificial Intelligence?

GPT-3 is the future. But what can NLP do in the present?

GPT-3 is shiny but still a way off. Let’s get our hands dirty with today’s state-of-the-art language models. And throw some Star Trek into the mix for fun.

NO! GPT-3 Will Not Steal Your Programming Bob | Hacker Noon

TL;DR; GPT-3 will not take your programming job (Unless you are a terrible programmer, in which case you would have lost your job anyway) Once again the hype of artificial intelligence has broken in the news. This time under the name of GPT-3, the successor of GPT-2 (of course), a model that is so large and so powerful that is making people think we finally made AGI, artificial general intelligence, possible

GPT-3, a Giant Step for Deep Learning And NLP

Can intelligence emerge simply by training a big enough language model using lots of data? OpenAI tries to do so, using 175 billion parameters.