What are the main aspects of ChatGPT API?
Updated on January 19, 2024
Table of Contents:
- 22 What is the ChatGPT API? Main aspects.
- What is the ChatGPT API?
- The cost of the ChatGPT API?
- 4 GPT-3 models that can be used with the ChatGPT API
- 1. Davinci
- 2. Curie
- 3. Babbage
- 4. Ada
- Does GPT-4 have an API?
- Step 1: Go to the waiting list
- Step 2: Describe why you are interested in it
- Prices for Chat GPT-4 API
- How context size affects API GPT-4 pricing
- GPT-4 has higher parameters
- How do I connect ChatGPT?
- Step 1: Log in
- Step 2: Create a secret API key
- Step 3. Copy and save the generated API key to your device
- 4 popular ways to use the ChatGPT API
- Conclusions of working with the ChatGPT API
22 What is the ChatGPT API? Main aspects.
Immediately after its launch, on November 30, 2022, ChatGPT caught people's attention and was added to a large number of services and applications, including Duolingo, Shopify, Snapchat and others. This was made possible by ChatGPT's application programming interface (API).
ChatGPT API allows developers to embed ChatGPT features into their applications, websites and services. ChatGPT interface is presented as a chat with a dialog box. The involvement of artificial intelligence has made it very functional and provided a wide range of applications.
In this article we'll talk about everything you need to know about the ChatGPT API, as well as what it can do, its value, how to access it, and how broad its scope can be.
If you're interested in the features of the ChatGPT API, you're in the right place.
What is the ChatGPT API?
OpenAI, the company that developed ChatGPT, offers users the ability to API-integrate third-party programs and applications with the language models it has developed.
ChatGPT, or Chat-based Generative Pre-trAIned Transformer, is a general-purpose AI-algorithm-enabled chatbot based on a family of large language models, enhanced by human learning AIs using multiple training data and human feedback.
Using OpenAI API you get the benefits of ChatGPT's breakthrough artificial intelligence technology to create smart services using machine learning technologies and artificial intelligence systems based on neural networks.
One popular implementation of the OpenAI API is an AI assistant that makes personalized shopping recommendations based on previous queries.
For example, the app Instacart has added ChatGPT to answer questions about food: like sharing a recipe for making tacos and giving healthy eating tips.
The Q-Chat chatbot from learning platform Quizlet is a personalized tutor.
The OpenAI API provides excellent interaction with various GPT models, which is embodied in a chatbot format.
As a developer, you have the ability to use the OpenAI API to write program code, analyze images, fix bugs, and more.
The cost of the ChatGPT API?
Theprice of OpenAI's most advanced API, called text-davinci-003, is $0.02 per 1,000 tokens. One token represents a sequence of text, and 1000 tokens represent about 750 words. Tokens are blocks of text into which the system breaks sentences and words to predict what text it should output.
In March 2023, OpenAI reported that through a series of system-wide optimizations since December 2022, it had succeeded in reducing the price of ChatGPT by 90%, and it is passing this optimization on to API users with the recently released gpt-3.5-turbo.
The gpt-3.5-turbo model is a powerful text generation model and is 10 times cheaper ($0.002 per 1,000 tokens) than its previous model text-davinci-003.
The developers say the new family of models, called gpt-3.5-turbo, is "the best model for many non-chat-related use cases."
Next, we will explore the different ChatGPT artificial intelligence models that can be leveraged through the API.
4 GPT-3 models that can be used with the ChatGPT API
The GPT-3 API has several generations and is available as four engines - Davinci, Curie, Babbage and Ada, each of these engines has been skillfully customized to solve specific problems and has its own set of usage restrictions.
Below we'll look at the features and strengths of each kernel, allowing you to unlock the full potential of GPT-3 in your applications.
1. Davinci
The Davinci engine stands out as the most powerful. It is designed to solve the most complex tasks, such as:
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Creating imaginative fiction
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Scripting
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Writing poetry
Its capabilities include the creation of quite inventive and subtle answers, which makes it possible to apply it to tasks that require creativity, such as creating marketing content.
This tool is most suitable for: For tasks such as creating a short story, composing poetry, or developing a screenplay.
Price: $0.02 per 1,000 tokens
2. Curie
The Curie engine is a ChatGPT model that is not comparable to Davinci, but still quite powerful. It is designed to solve specific and uncomplicated tasks such as:
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Responses to user queries and feedback
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Providing customer support
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Creating summaries and providing translations
It allows you to effectively get precise and short answers to well-worded questions.
Most suited for: Customer service work where a fast and accurate answer is needed. Curie is also excellent for summarizing textual data, such as summarizing lengthy articles and documents and high-quality translations.
Price: $0.002 dollars per 1,000 tokens
3. Babbage
The Babbage engine is a fast ChatGPT model designed to solve problems such as:
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Business Intelligence
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Data analysis
It does an excellent job of creating texts and analyzing various datasets, generating visualizations, providing conclusions and recommendations using data collection settings.
Best suited for: Baggage is designed to meet the needs of businesses and organizations that need data analysis and business intelligence support, as well as for analysts and researchers who need help with data.
Cost: $0.0005 dollars for 1,000 tokens
4. Ada
Ada engine is the most among analogs. The main direction of solved tasks is:
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Software development
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Programming
Using this engine you can write code, find bugs, and clearly explain programming concepts.
Most suitable for: students of programming who need clarification of certain concepts, as well as developers and programmers who need help working on code.
Price: $0.0004 dollars per 1,000 tokens
All of the above GPT-3 models work in their own way, and some of them have minimal differences. For example, the Davinci model is best at complex tasks that require creativity and nuance, but the Curie model excels at simple and straightforward tasks such as answering questions and customer support.
The Ada engine is considered to be the fastest and is great for programming and software development tasks, while the Babbage engine is optimal for data analysis and business intelligence.
Want to try them out? OpenAI has launched a testbed where developers can test different inputs and get results after using different GPT models.
Next, we will study the most advanced OpenAI language model: GPT-4.
Does GPT-4 have an API?
Yes, GPT-4 does have an API. The model available right now is gpt-4-0314. This is currently the most up-to-date iteration of Chat GPT, it is released in March 2023.
Much attention to GPT-4 is justified by its superior capabilities, as it can handle a much larger amount of context due to its much improved parameters. The GPT-3.5 and GPT-3 language models can occasionally produce incorrect responses or strange responses. For example, the GPT-3 model occasionally produces content that looks like it is true, and it gives the impression of human-generated text, but is incorrect on inspection.
The GPT-4 language model can handle a much larger amount of context due to its much improved parameters. It can also generate responses much faster and handle more content. ChatGPT uses the term "context" to refer to previous messages or information that has been passed between the user and the model during a conversation. In order to understand and provide appropriate responses to user input, ChatGPT capitalizes on the context of the conversation. Context is not limited to the most recent message; instead, it includes prior messages that play a vital role in maintaining coherence and consistency in the conversation.
OpenAI has not yet disclosed the specifics of the GPT-4 model parameters, but it is believed to have four times as many parameters as GPT-3.5, totaling 1 trillion parameters. More parameters typically results in better performance and more accurate text generation because the model has a greater ability to identify and represent complex relationships between datasets. The GPT-4 API is still in limited beta testing and is not available to everyone. Users who want access to the GPT-4 model need to join the waiting list. The following are instructions on how to do so.
Step 1: Go to the waiting list
Go to the waitlist page at https://openai.com/waitliess/gpt-4-api.
Step 2: Describe why you are interested in it
Describe why you need GPT-4 and carefully enter all the necessary information
When you have entered all required information, click the "Join Waiting List" button at the bottom of the page. OpenAI will contact you when your application is approved.
Prices for Chat GPT-4 API
Theprice for API GPT-4 is 15 times higher than the gpt-3.5-turbo model, which is justified, as it is the most modern iteration of ChatGPT and can handle a much larger amount of context with much larger parameters.
How context size affects API GPT-4 pricing
ChatGPT uses the term "context" to refer to previous messages or information that the user and AI have communicated during a conversation.
ChatGPT understands the context of the conversation in order to understand the user's input and generate valid responses. The context is not limited to just the most recent message, it includes previous messages, which helps ChatGPT maintain consistency and coherence in the conversation.
For gpt-4-0314, the price of 1,000 tokens for an 8K (8,000 word) context is:
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$0.03 per operational request (input)
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$0.06 per completion response (withdrawal)
The price of 1,000 tokens for 32K contexts (32,000 words) is:
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$0.06 per 1,000 tokens when promptly requested
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$0.12 per 1,000 tokens to respond to completion
A version of the API that can handle up to 32K context is the right choice for a service that needs to produce a significant amount of text, such as a blog post generation platform.
However, if your service or product is less complex, for example, artificial intelligence is required to provide short and precise answers, then the 8K context version of the API will be more beneficial.
GPT-4 has higher parameters
In this context, the parameters are the size and complexity of the artificial neural network at the heart of the ChatGPT model.
Parameters are the adjustable elements of a neural network that allow it to learn patterns and produce human-like text. Parameters are numerical values that are adjusted during training, depending on how the model learns to produce text from the received input data.
Increasing the number of parameters usually results in higher performance. For example, the GPT-3.5 model has 175 billion parameters and can assimilate and generate a large amount of information.
OpenAI does not officially disclose the specifics of the GPT-4 model parameters, but it is expected to have four times as many parameters as GPT-3.5, totaling 1 trillion parameters.
Increasing the number of parameters typically results in better performance and more accurate text generation, as the model has a greater ability to learn, identify, and represent complex relationships in datasets.
However, as the number of parameters grows, so do the computational requirements to train and use the model, making it more computationally intensive - hence the base cost on API GPT-4 is 15 times higher than gpt-3.5-turbo.
After we have explored the different API models available in OpenAI, let's look at ways to generate a ChatGPT API key.
How do I connect ChatGPT?
Let's see how to get started with the OpenAI API. Carefully go through all the steps to ensure seamless integration of ChatGPT into your application.
Step 1: Log in
Go to the "OpenAI" page and create an account. To do this, click "Sign-up", enter your email address and click "Continue" or continue with your Google or Microsoft account. If you entered your address, enter your password in the next window. You will receive a confirmation email in your inbox. Click on the "Verify" button in the email and after going to the page, enter your information: name and organization.
Step 2: Create a secret API key
In the top right corner, click on avatar and select "Manage account". Go to the "API Keys" tab, click "Create new secret Key" and copy the key.
Step 3. Copy and save the generated API key to your device
Important: You need to save the key on your device, as you will not be able to copy the key when you log in again. If you lose it, you will need to generate a new key.
An API key is the technology that will be used by an app or service on your device to make requests to ChatGPT servers.
4 popular ways to use the ChatGPT API
The ChatGPT API offers a wide range of use cases across a variety of industries. Here are some examples of how enterprises and developers can utilize this technology:
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Customer Support : Automating customer support with ChatGPT can bring significant benefits. It can handle high volume of queries and generate accurate and informative responses. It can be integrated into an existing system, available to people at any time.
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Content generation: Use the API if you need to generate text for articles, blogs or marketing materials. It can help you formulate headlines, descriptions or even entire texts based on your requirements, context.
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Entity Extraction: With the ChatGPT API, you can interact with the model and get personalized recommendations for users. You can pass users' context and preferences to the model, and it will generate recommendations that match their needs and interests.
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Natural Language Interfaces: With the ChatGPT API, you can develop dialog systems that interact with users in natural language. You can use the model to process queries and generate responses, creating interactive dialogs with users.
Conclusions of working with the ChatGPT API
The ChatGPT API is a great tool that can change the way language processing is created and integrated into AI applications and systems.
When you use the ChatGPT API effectively, you can improve communication with your users, develop intelligent solutions, and create more interactive and responsive applications. Follow the tips, study the OpenAI documentation, and experiment with the ChatGPT API to get the best results for your projects and applications.
ChatGPT will help you write whole blocks of functional code fragments from scratch or quickly find a problem, saving hours of searching for a misplaced comma. The chatbot's development capabilities are impressive.
Whether you are a developer with experience or still at the beginning of your journey, ChatGPT API can always help. So don't hesitate and unleash your creativity and let ChatGPT do all the work for you!
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