OpenAI’s GPT (generative pre-trained transformer) models have been trained to understand natural language and code. GPTs provide text outputs in response to their inputs. The inputs to GPTs are also referred to as “prompts”. Designing a prompt is essentially how you “program” a GPT model, usually by providing instructions or some examples of how to successfully complete a task.
What is GPT-4 model?
GPT-4 is the latest and most advanced language model developed by OpenAI. It is the newest version.
When was GPT-4 model launched?
The GPT-4 model was released on March 14, 2023.
How many parameters does GPT-4 have?
OpenAI has not officially disclosed the number of parameters for the GPT-4 model so far. Prior to the release of the GPT-4 model, there were claims suggesting that it contained 170 trillion parameters. However, OpenAI’s CEO, Sam Altman, later denied this claim. According to some sources, it is stated that the GPT-4 model was trained using around one trillion parameters. This value is approximately ten times higher than the number of parameters in the previous model, GPT-3
Does GPT-4 have a character limit?
Yes, the GPT-4 model does have a character limit. The GPT-4 API offers two different character limits: 8k tokens and 32k tokens. The 32k token limit corresponds to approximately 160k characters. GPT-4 has a character limit of 8,192 tokens compared to 4,096 tokens for GPT-3.5 turbo model.
When using the GPT-4 model through the ChatGPT interface, the character limit is lower. In ChatGPT, the character limit is approximately 2k tokens.
What are tokens?
Language models read and write text in chunks called tokens. In English, a token can be as short as one character or as long as one word (e.g., b or banana), and in some languages tokens can be even shorter than one character or even longer than one word.
For example, the string "ChatGPT is great!" is 15 characters long. However, it is encoded into six tokens: ["Chat", "G", "PT", " is", " great", "!"].
How to use GPT-4 model?
There are two ways to use the GPT-4 model. The first one is through the OpenAI API, where you can call the GPT-4 model using the API. The second way is by subscribing to ChatGPT Plus, which allows you to use the GPT-4 model. After the release of the GPT-4 model, ChatGPT Plus subscribers gained access to it.
Currently, the usage of the GPT-4 model through the OpenAI API is not available to everyone. To use the GPT-4 model via the API, you need to join the OpenAI waitlist. You can sign up for the waitlist by following the steps provided.
Once you are registered, you can make API calls to OpenAI with appropriate parameters using any programming language you prefer. If you don’t want to deal with programming or want to get an idea before diving into programming, you can use the OpenAI Playground. It’s an application provided by OpenAI where you can interact with and test their GPT models by adjusting the parameters online.
How much does GPT-4 cost?
Sam Altman, the CEO of OpenAI, stated that the cost of training GPT-4 was more than $100 million.
You need to be a ChatGPT Plus member if you want to use the GPT-4 model through ChatGPT. The ChatGPT Plus subscription has a monthly fee of $20.
If you want to use the GPT-4 model through the API, the pricing for the API usage is as follows:
For models with 8k context lengths like gpt-4 and gpt-4-0314:
- $0.03 per 1,000 prompt tokens
- $0.06 per 1,000 sampled tokens
For models with 32k context lengths like gpt-4-32k and gpt-4-32k-0314:
- $0.06 per 1,000 prompt tokens
- $0.12 per 1,000 sampled tokens
Does GPT-4 accept image input?
Yes, GPT-4 is a large multimodal model that can handle both images and text inputs, and it generates text outputs. However, similar to the GPT-3 model, it cannot produce image responses; it can only provide text-based answers.
There is an exception to consider in this regard. With a ChatGPT Plus subscription, you can access the GPT-4 model and utilize the ChatGPT Plugins feature. Through various plugins available, you can generate the links of image outputs in the desired format or style. This feature enables you to incorporate image generation capabilities alongside the GPT-4 model within the ChatGPT interface.
What is the difference between ChatGPT and GPT-4?
ChatGPT and GPT-4, both developed by OpenAI. They serve distinct roles in the field of artificial intelligence.
GPT-4 is a large language model trained on huge amount of data that give artificial intelligence applications the ability to generate text. ChatGPT is an AI chatbot that uses GPT’s language model to interact with humans in a conversational way.
Even though ChatGPT uses GPT models as its base OpenAI has also added content filters to stop it from going off the rails.
ChatGPT is a web app designed specifically for chatbot applications—and optimized for dialogue. While GPT-4 is like a brain behind this app. Imagine you have a computer (like a Dell) and the part that makes it run and think (the Intel processor). GPT-4 is like the Intel processor, the “brain” that lets a computer work and think. ChatGPT is like the Dell computer itself. It’s a tool that uses the “brain” (GPT-4) to do something specific – in this case, to chat with people like a real human.
What is the difference between GPT-4 and GPT-3 models?
The GPT-4 model, is more advanced compared to its predecessor, the GPT-3 model which was released on June 11, 2020. We have compared the features of these two models to highlight their similarities and differences below.
While the GPT-4 model can accept both text and image inputs, the GPT-3 model can only process text inputs.
While the GPT-3 model was trained with around 170 billion parameters, it is estimated that the GPT-4 model was trained with nearly one trillion parameters.
GPT-4 is better at accurately following complex instructions, whereas GPT-3.5-turbo is more likely to focus on just one part of a complex instruction.
GPT-4 is also less prone to generating made-up information, which is called “hallucination,” compared to GPT-3.5-turbo.
GPT-4 has a larger character limit, allowing it to consider more information, with a maximum size of 8,192 tokens. In comparison, GPT-3 has a character limit of 4,096 tokens.
The usage cost of the GPT-4 model is $0.03 per 1,000 tokens, whereas the usage cost of the GPT-3 model is $0.002 per 1,000 tokens. Comparing these two, the GPT-3 model is approximately 15 times cheaper than the GPT-4 model in terms of cost per token.