Diving deeper into ChatGPT

This post is a part of Learning more about ChatGPT

The image above was generated from DALL-E 2: “a Baroque painting of a gold shiny robot sitting next to a person with a Dalmatian”

In a continuation of my last post on ChatGPT, I dug a little deeper into what ChatGPT is and other OpenAI.com offerings. ChatpGPT is… well, I went ahead and asked it about itself, and some other important questions…

I hope I asked good questions…

Tell me more about ChatGPT

ChatGPT is a language generation model developed by OpenAI. It is a variant of the GPT (Generative Pre-training Transformer) model, which is trained on a massive amount of text data to generate human-like text. It is designed to be used for a variety of natural language processing tasks, such as language translation, summarization, and conversation.

Cool, it knows itself… is it self-aware?

What other services does OpenAI offer?

OpenAI offers a variety of services for researchers and developers to utilize its AI models. Some of the main services include:

  • GPT-3: A powerful language generation model that can be used for a wide range of natural language processing tasks, including language translation, summarization, and conversation.
  • OpenAI Gym: A toolkit for developing and comparing reinforcement learning algorithms.
  • OpenAI Baselines: A set of high-quality implementations of reinforcement learning algorithms.
  • OpenAI API: A cloud-based API that allows developers to access OpenAI’s models, including GPT-3, for use in their own applications.
  • DALL·E: a powerful image generation model that can be used for tasks such as creating original images, editing images, and converting text to images.
  • Robotics: OpenAI is also working in robotic area, developing and promoting research on robots that can think and learn like humans.

These are some of the notable services OpenAI offers, but they are always working on new projects and services, so this list may not be complete.

There is so much to play with here!!

How secure are you?

As a language model, ChatGPT does not handle sensitive information and does not have the capability to access or store any personal information.

However, when using the API provided by OpenAI to access ChatGPT, it is important to keep your API key secure and to use the API in compliance with OpenAI’s terms of service.

OpenAI has implemented several security measures to protect their models and the data they are trained on. These include encryption, secure access controls, and regular security audits. They also follow industry standards for data privacy and security.

That being said, as with any cloud-based service, it is important to be aware of the potential risks and to take appropriate measures to protect your data and usage of the service.

It’s always recommended to take a look at the terms of service and the privacy policy of any AI service that you intend to use and make sure you understand how the company is handling your data, who they share it with and how it is being used.

Meh, bad question. Rajeev on my last post asked a better version of this, so with a little tweak, I got a better answer:

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How can organizations maintain the privacy of their data and clients with ChatGPT and OpenAI?

Organizations can take several steps to maintain the privacy of their data and clients when using ChatGPT and OpenAI:

  1. Understand the data: Understand what data is being used to train and operate the model, and what data is being generated by the model. This will help you identify any sensitive data and take appropriate measures to protect it.
  2. Use secure connections: When using the API, use secure connections (HTTPS) to protect data in transit.
  3. Limit data access: Limit the number of individuals who have access to the data and ensure that only authorized personnel can access the data.
  4. Implement data masking: Use data masking techniques to protect sensitive data, such as redacting or replacing sensitive information with dummy values.
  5. Use data encryption: Encrypt sensitive data both at rest and in transit to protect it from unauthorized access.
  6. Understand your legal and regulatory obligations: Understand the legal and regulatory requirements that apply to your organization and ensure that you are in compliance with them.
  7. Have a clear privacy policy: Have a clear privacy policy in place that outlines how you collect, use, and protect personal data, including data that is generated by the OpenAI API. Be transparent about what data you collect and how you use it, and obtain any necessary consent from clients before using their data.
  8. Regularly monitor and audit: Regularly monitor and audit the data and usage of the OpenAI API to ensure that it is being used in compliance with your organization’s policies and that the data is being handled and protected appropriately.

By taking these steps, organizations can help ensure that they are using the OpenAI API in a responsible and compliant manner, and that they are protecting the privacy of their clients and their own data.

I think it’s great ChatGPT is pointing out that your own organization’s governance is important here. I mentioned in my last post about letting your users in. Do so, but with governance. Put some guardrails around what data you’re okay with them sharing.

What are some of your limitations?

As a language model, ChatGPT has several limitations to be aware of:

  • Quality of the output: While ChatGPT can generate human-like text, the quality of the output can vary depending on the input and the task. The model may produce errors or nonsensical responses when faced with unfamiliar or ambiguous input.
  • Lack of understanding: ChatGPT is trained on text data and does not have the ability to understand the meaning or context of the text it generates. It can only respond based on patterns it has seen in the training data.
  • Bias: The model is trained on a large dataset of text from the internet, so it may reflect the biases present in that data.
  • Privacy and security: As a cloud-based AI service, there are potential risks associated with using ChatGPT, such as data breaches or unauthorized access to your API key.
  • Legal and ethical considerations: As a language model, ChatGPT can be used for a wide range of applications, some of which may raise legal or ethical concerns. It is important to consider these issues when using the model and to use it in compliance with the law and applicable ethical guidelines.

In general, it’s important to keep in mind that ChatGPT is a machine learning model and it’s output is based on the data it was trained on, so it will have limitations and should be used in combination with human intelligence.

So it’s not perfect! Humans are still needed after all. This list aligns well with what is shared on OpenAI.com’s Limitations as well.

The content generated by ChatGPT is not copyrighted. However, the training data that is used to train the model may be copyrighted, and the model may generate text that is similar to or identical to the training data.

When using the model, it’s important to be aware of and comply with copyright laws and any applicable terms of service. OpenAI’s API terms of service include a provision that prohibits using the API to generate text that infringes on the rights of any third party, including copyright.

As for the output from ChatGPT, it’s important to be aware that the generated text may include proprietary information, personal information, or other sensitive information. It’s your responsibility to handle and protect that data according to the laws and regulations that apply to you, and you should not use the output in any way that would violate anyone’s rights.

In general, the output from ChatGPT can be used for research and development, but it should not be used for any illegal or unethical purposes, and the output should not be used in any way that would infringe on the rights of any third party.

VERY interesting. The output could be copyrighted from the source. Again, humans are still needed here to confirm and validate what it’s outputting, as it’s your responsibility.

Tl; Dr; <pasted in Sharing & Publication Policy>

OpenAI has set a policy for the use of its API, ChatGPT, for commercial and research purposes. The policy includes guidelines for sharing and publishing content generated by the model, such as manually reviewing each generation, clearly attribute the content to the user, indicating that the content is AI-generated and not sharing content that violates OpenAI’s content policy. Additionally, the policy also includes guidelines for research publications, asking researchers to notify the company and highlighting the importance of identifying and reporting any safety or security issues with the API. OpenAI also offers a researcher access program for subsidized access to the API for specific research projects.

Tl; Dr; <pasted in Terms of Use>

The Terms of Use was too long to paste in, so I had to submit it in two halves, then I asked it to combine the two outputs.

The OpenAI terms of service include guidelines for the use of its products and services, including the ChatGPT API. The terms include the requirement to be 18 or older, provide accurate information to register for an account, and not share access credentials with others. The terms also include restrictions on the use of the API, such as not using it in a way that infringes on others rights, not reverse engineering the API, not using it to develop competing models, not extracting data from the API other than through the API, not representing AI-generated content as human-generated, and complying with rate limits and other requirements. The terms also include guidelines for handling content generated by the API and for using third-party software and services in connection with the API. OpenAI’s terms of service also include provisions for termination of the agreement by either party, with OpenAI providing 30 days notice before termination. The terms also include an indemnification clause, in which the user agrees to defend, indemnify, and hold OpenAI harmless from any claims arising from the use of the API. The terms also include a disclaimer of warranties and limitations on liability, in which OpenAI states that the API is provided “as is” and that they will not be liable for any indirect, incidental, special, consequential or exemplary damages. The terms also include a mandatory arbitration clause, in which the user agrees to resolve any disputes through final and binding arbitration, with the option to opt-out of the arbitration terms by emailing a specific email address within 30 days of agreeing to the terms.

I’ve never read a Terms of Use before, and I don’t think I ever will now, thanks ChatGPT! :D

Do you have an SLA for performance? Is performance ever throttled?

I am not sure about the specific SLA (Service Level Agreement) for the performance of the ChatGPT API provided by OpenAI, but as a cloud-based service, the availability and performance of the API can be affected by various factors such as network congestion, server maintenance, and updates to the model.

OpenAI may take steps to manage the load on the service and ensure that the service remains available and responsive. This might include throttling the usage of the API by individual users or groups of users. They may also limit the number of requests that can be made by an individual user in a given period of time.

It’s important to keep in mind that the ChatGPT API is a cloud-based service and that performance may vary depending on the current usage and other factors. If you are planning to use the API for a critical application, I recommend checking with OpenAI to see what kind of SLA they can offer and if you need to plan accordingly.

You can check the OpenAI website or contact their support team to get more information on the performance and availability of the service.

It is important to remember this is a new service, prone to performance issues due to the sheer number of users playing with it. There is a page available addressing their SLAs: Is there an SLA for latency guarantees on the various engines? They’re still figuring it out. They do have a status page where you check the status of the services at any point.

How much do ChatGPT and OpenAI cost?

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The cost of using ChatGPT and other OpenAI services can vary depending on the specific service and the level of usage. Generally, OpenAI offers a pay-per-use pricing model, where users are charged based on the number of API requests they make or the amount of compute time they use.

For the OpenAI API which allows you to access GPT-3, you can use it for free with a low usage quota, and beyond that, you can purchase more usage. Different pricing plans are available depending on the level of usage and the features needed.

In addition to the pay-per-use pricing, OpenAI also offers a variety of custom pricing options, including enterprise licensing, for customers with high-volume or specialized usage requirements.

It’s important to note that prices are subject to change and the exact cost will depend on the specific service, your usage, and the pricing plan that you choose. You can check the OpenAI website or contact their sales team for more information on pricing and to get a quote for your specific usage.

In general, OpenAI aims to make its services accessible to as many people as possible and they also offer a range of resources, such as tutorials and sample code, to help developers get started with the API and to help researchers to use the models.

Not super helpful, but it does all depend on the models and usage. Check out the pricing page on OpenAI.com to learn more. Also, check out this post by Ivan Campos: OpenAI API Pricing in Words per Dollar, where he explains the models and costs associated.

How do I get started using NodeJS with OpenAI?

To get started using Node.js with OpenAI, you’ll first need to sign up for an API key on the OpenAI website. Once you have an API key, you can start using the OpenAI API to access the model and perform various natural language processing tasks.

Here are the general steps you can follow to get started:

  1. Install the openai npm package by running npm install openai in your terminal.
  2. In your Node.js code, import the package by adding const openai = require(‘openai’); at the top of your file.
  3. Set your API key by adding openai.apiKey = ‘YOUR_API_KEY’
  4. To use the API, you will need to call the openai.Completion.create() method, passing in the required parameters such as the prompt, the model, and the API version.
  5. Handle the response from the API and use the generated text as needed.

Here is an example of how to use the API to generate text with Node.js:

const openai = require('openai');
openai.apiKey = 'YOUR_API_KEY';

const prompt = 'What is the capital of France?';
const model = 'text-davinci-002';

openai.Completion.create({
  prompt: prompt,
  model: model,
  api_version: 'v1'
}, function(error, response) {
  if (!error) {
    console.log(response.choices[0].text);
  }
});

This is just a simple example and the API can be used for many other tasks, such as language translation, summarization, and conversation. You can check the OpenAI documentation and sample code to get more examples and learn more about the different features and options that are available.

Keep in mind that you’ll need to have a good understanding of JavaScript and Node.js in order to use the OpenAI API effectively.

I love that it spits out code so easily!! I will be messing with the APIs soon, stay tuned!

As I continue to use ChatGPT and the other Open AI services, I will continue to share my findings here. Subscribe to my blog to get the next update!

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