Open AI's Text-DaVinci-003 vs. Text-DaVinci-002

Introduction

On November 28, 2022, Open AI released the newest addition to their GPT-3 model family, `text-davinci-003`. This model is an upgraded version of their previous InstructGPT model, providing improved capabilities and higher quality writing. This model is designed to help developers create clearer, more engaging, and more compelling content. In this blog post, we'll take a deeper look at what this model is capable of, how it works, and how developers can make use of it.

Text-Davinci-002 vs. Text-Davinci-003

One of the main improvements of `text-davinci-003` is its ability to produce higher quality writing. This allows applications to deliver clearer, more engaging, and more compelling content.

Writing Test

To illustrate this improvement, consider the following example provided by Open AI:

Prompt:

I am trying to write a web application. What backend frameworks could I use, and what are their pros and cons?

Text-Davinci-002 Response

There are many backend frameworks that could be used for a web application. Some popular ones include Django, Ruby on Rails, and Express.js. Each of these frameworks has its own pros and cons, so it is important to choose one that will fit the specific needs of your application.

Text-Davinci-003 Response

1. Node.js: Node.js is a JavaScript-based runtime environment that is popular for writing backend applications. Pros: Node.js is fast, lightweight, and easy to learn, and it has a large community of developers. Cons: Node.js can be difficult to debug and there is a lack
of robust tools for building large-scale applications.

2. Django: Django is a popular Python-based web framework. Pros: Django is powerful and well-documented, making it easy to get started. It also supports a wide range of databases and APIs, allowing you to easily integrate with other services. Cons: Django can be difficult to scale for large applications and can be slow for certain types of requests.

3. Ruby on Rails: Ruby on Rails is a popular web framework based on the Ruby programming language. Pros: Ruby on Rails is easy to learn and can be used to quickly build powerful web applications. It also has a wide range of built-in features, such as authentication and authorization. Cons: Ruby on Rails can be slow and resource-intensive, and it can be difficult to scale.

The example for `text-davinci-003` is much more detailed and provides more specific information than the example for `text-davinci-002`. This improvement in quality allows developers to create more compelling and engaging content.

Our Test

We gave text-davinci-003 & text-davinci-002 this prompt, and compared the two:

Test Prompt:

Answer the following questions:

- What is AI?

- How do you learn to code?

- What are the differences between a Democracy & a Dictatorship?

text-davinci-002 Output

Artificial intelligence is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.

There are a variety of ways to learn to code. You can take online courses, attend coding bootcamps, or teach yourself.

The main difference between a democracy and a dictatorship is that in a democracy the people have a say in how the government is run, while in a dictatorship one person or a small group has absolute power.

text-davinci-003 Output

AI stands for Artificial Intelligence, which is a form of technology that enables machines to perform tasks that normally require human intelligence such as visual perception, speech recognition, and decision making.

To learn to code, you need to first have a basic understanding of programming concepts and languages. After that, you can find online tutorials and courses, take classes, or just start coding with some simple projects.

The main differences between a Democracy and a Dictatorship are the ways in which they are governed. A Democracy is a form of government in which power is held by the people and exercised through elected representatives. A Dictatorship is a form of government in which a single ruler holds absolute power. In a Democracy, citizens are given the right to vote and have their voices heard, while in a Dictatorship, the ruler has total control over decision-making.

Test Results

Comparing the two, text-davinci-003 comes up with more comprehensive answers, and puts them in terms easier to understand.

text-davinci-003 can rhyme

As this user on Reddit noticed. We did the same test and got a similar result. Quite impressive!

Obedience to Commands & Philosophical Robustness

We asked text-davinci-003 and 002 to perform a difficult philosophical task. That is, to refute the philosophical "problem of evil." The "problem of evil" is a philosophical objection to belief in God. The problem says that a good God cannot exist if there is evil in the world, because, being God, he would prevent all evil.

This difficult philosophical task is done quite well by text-davinci-003, while text-davinci-002 doesn't even quite listen to the instructions, describing the different views rather than arguing against the "problem of evil. See the example below.

Prompt:

Refute the theistic, "problem of evil"

text-davinci-002 Output

Refute the theistic "problem of evil".

The problem of evil is the question of how to reconcile the existence of evil and suffering with the existence of an all-powerful, all-knowing, and all-good God. Many theists believe that God is all-powerful and all-knowing, but that evil and suffering exist because God has given humans free will. Some theists believe that evil and suffering exist because God is testing humans. Others believe that evil and suffering are necessary for the development of humans.

text-davinci-003 Output

Theistic "problem of evil" asserts that the existence of evil in the world is incompatible with a belief in an omnibenevolent, omnipotent God. However, this does not take into account the free will of human beings, which God has given us, and the degree to which evil is a necessary part of our own spiritual growth and development.

God cannot be held responsible for the evil actions of mankind, as He has given us the ability to choose between good and evil. He has given us the capacity to exercise free will and make our own moral decisions, and sometimes, those decisions lead to evil outcomes. God may be all-powerful, but He has given us the power to choose our own paths, and that choice can lead to evil.

In addition, some aspects of evil may be necessary in order for us to learn and grow spiritually. Pain and suffering can teach us valuable lessons, such as empathy and compassion. We may not understand why we have to endure certain hardships, but we can learn to trust in God's plan and be grateful for the lessons we learn along the way.

In conclusion, the theistic "problem of evil" does not take into account the free will of human beings, the fact that certain types of evil can be necessary for our spiritual growth and development, and the fact that God has given us the ability to choose between good and evil. Therefore, this argument fails to refute the existence of an omnibenevolent, omnipotent God.

Text-Davinci-003 Benefits

More Complex Instructions

Another major improvement of `text-davinci-003` is its ability to handle more complex instructions. This allows users to get more creative with how they make use of its capabilities, allowing them to take on more ambitious tasks.

Longer Form Content

`text-davinci-003` is also better at generating longer form content, allowing developers to tackle tasks that would have previously been too difficult. This could include longer pieces of content, such as articles, blog posts, or even books.

Text-Davinci-003 Price

Starting today, users can access `text-davinci-003` through the Open AI API and playground, at the same price as their other Davinci base language models ($0.0200 / 1k tokens). The Open AI team is excited to see what developers create with this new model, and they look forward to hearing feedback.

How Does GPT-3 & Text-Davinci-003 Work?

text-davinci-003 is a deep learning model that uses a neural network to generate text. The model is trained on a large dataset of text, which it then uses to generate responses to given prompts. The model is designed to be able to generate longer form content, allowing developers to take on tasks that would have previously been too difficult to achieve.

Input

The model takes input in the form of a prompt, which can be anything from a single word to a complex sentence. The input is then fed into the model, which uses the data it has been trained on to generate a response.

Output

The output of the model is a text response that is generated by the model. The response is based on the data that has been fed into the model and can range from a single sentence to an entire article.

Benefits of text-davinci-003 with Open AI?

text-davinci-003 provides a number of benefits to developers. It can generate higher quality writing, allowing developers to create more engaging and compelling content. It can also handle more complex instructions, meaning you can get even more creative with how you make use of its capabilities now. Finally, it is better at longer form content generation, allowing developers to take on tasks that would have previously been too difficult to achieve.

How Can Developers Use text-davinci-003?

text-davinci-003 can be used by developers in a number of ways. For example, it can be used to generate content for websites, blogs, and social media. It can also be used to create conversational bots and virtual assistants. Additionally, it can be used to generate personalized emails, newsletters, and more.

Examples of Open AI's text-davinci-003 in Action

To illustrate the capabilities of text-davinci-003, here are two examples of how it can be used.

Example 1: Generating Content for a Website

text-davinci-003 can be used to generate content for websites. For example, you could use the model to generate blog posts, articles, and other content for your website. The model is able to generate high-quality content that is engaging and compelling, allowing you to create content quickly and efficiently.

Example 2: Generating Conversational Bots

text-davinci-003 can also be used to generate conversational bots. For example, you could use the model to create a chatbot that can answer questions, provide customer support, and more. The model is able to generate responses that are natural and engaging, allowing you to create a truly engaging experience for your users.

Conclusion

text-davinci-003 is an advanced language model developed by OpenAI. It is designed to generate higher quality writing, improve on complex instructions, and handle longer form content generation. Developers can use it to generate content for websites, create conversational bots, and more.

It is available now and can be accessed through OpenAI's API and playground at the same price as their other Davinci base language models.