GPT (Generative Pre-trained Transformer) models developed by OpenAI are designed to understand natural language and code. They generate text outputs in response to input prompts, which act as instructions or examples for the model to follow. GPT-4 is the latest and most advanced model developed by OpenAI. In this article, we will explain what is GPT-4 model and how you can utilize its features.
What is GPT-4 Model?
GPT-4 is the latest and most advanced language model created by OpenAI, representing the newest version of the GPT series.
GPT-4 is an large multimodal model that can handle both image and text inputs, generating text outputs. Although it may not match human-level performance in every real-world scenario, it demonstrates human-level capabilities in various professional and academic benchmarks.
GPT-4 is the language model with the highest reasoning ability and the highest level of creativity. It can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem solving abilities.
Release Date of GPT-4 Model
The GPT-4 model was launched on March 14, 2023 by OpenAI.
Number of Parameters in GPT-4
The exact number of parameters in the GPT-4 model has not been officially disclosed by OpenAI. Initial claims suggested it contained 170 trillion parameters, but these claims were later denied by OpenAI’s CEO, Sam Altman. Some sources estimate that GPT-4 was trained using approximately one trillion parameters, ten times more than its predecessor, GPT-3.
Character Limit in GPT-4
GPT-4 does have a character limit. The GPT-4 API provides two options: 8k tokens and 32k tokens, with the latter corresponding to around 6144 characters.
Therefore, the standard GPT-4 model has a character limit of 8,192 tokens, which is double the character limit of GPT-3.5 turbo, which is 4,096 tokens.
The 32k model has an approximate character limit of 25,000 characters.
Language models process text in chunks called tokens. In English, a token can range from a single character to a complete word. For example, the string “ChatGPT is great!” is encoded into six tokens: [“Chat”, “G”, “PT”, ” is”, ” great”, “!”].
We can say that approximately 100 tokens are equivalent to 75 English characters.
How to Use GPT-4 Model?
There are two primary ways to utilize the GPT-4 model. First, through the OpenAI API, you can make API calls to access GPT-4. Second, by subscribing to ChatGPT Plus, you gain access to the GPT-4 model.
How to use GPT-4 via its API?
To make API calls, you can use any programming language and specify the required parameters.
To utilize the GPT-4 model by calling the program API, you need to have some programming knowledge. Below is a simplified version in Python of how you can invoke the GPT-4 model function:
import openai # Set up your OpenAI API credentials openai.api_key = 'YOUR_API_KEY' # Define a function to call GPT-4 model def generate_text(prompt): response = openai.Completion.create( engine='text-davinci-003', # Specify GPT-4 model prompt=prompt, max_tokens=100, # Specify the maximum number of tokens in the response temperature=0.8, # Control the randomness of the generated output n=1 # Number of responses to generate ) return response.choices.text.strip() # Call the function with a prompt prompt = "Once upon a time" generated_text = generate_text(prompt) print(generated_text)
We recommend you to refer to the relevant resources to learn in detail about how to access the GPT-4 model API through software and how to integrate it into your projects.
Alternatively, for a more user-friendly approach, you can experiment with GPT models through the OpenAI Playground, an online application provided by OpenAI.
How to use GPT-4 in ChatGPT?
To use the GPT-4 model in ChatGPT, you first need to be a ChatGPT Plus member. Once you become a ChatGPT Plus member, you can select the desired model option, either GPT-3 or GPT-4, on the main page.
By selecting GPT-4, you will be using ChatGPT with the GPT-4 model, and you will receive responses generated by the GPT-4 model. Please note that the usage of the GPT-4 model is currently limited, with a response capacity of up to 50 messages every 3 hours.
Cost of using GPT-4 Model
The CEO of OpenAI, Sam Altman, stated that the cost of training GPT-4 exceeded $100 million. To use GPT-4 through ChatGPT, you need to be a ChatGPT Plus member, which requires a monthly fee of $20. For API usage of GPT-4, the pricing depends on the context length and token type.
- 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
Image Input with GPT-4
GPT-4 is a multimodal model capable of handling both image and text inputs.
Learn more: How to give GPT-4 image input?
This means that you can send images to GPT-4 and ask questions related to them. GPT-4 can accept images as input, understand them, and provide comments and calculations based on them. With this feature, it sets itself apart from other GPT models.
What can you do with GPT-4
The problem-solving capacity of the GPT-4 model is very high, and you can integrate it into many projects you can think of. You can ask it how to clean your bird’s cage, make it generate code in multiple programming languages, or even have it write poetry in the tone you desire. It can understand and reason with images as input, allowing for a wide range of applications.
Differences Between ChatGPT and GPT-4
ChatGPT and GPT-4 serve different purposes within the realm of artificial intelligence. GPT-4 is a large language model that enables text generation, while ChatGPT is an AI chatbot utilizing GPT models for conversational interactions. ChatGPT has content filters to prevent undesirable behavior. Think of ChatGPT as the application itself and GPT-4 as the underlying language model powering it, similar to a computer (Dell) and its processor (Intel).
Differences Between GPT-4 and GPT-3 Model
GPT-4, the more advanced model, surpasses its predecessor, GPT-3, which was released on June 11, 2020. Here are some key differences between GPT-4 and GPT-3:
- GPT-4 accepts both text and image inputs, while GPT-3 processes only text inputs.
- GPT-4 was trained with nearly one trillion parameters, while GPT-3 had around 170 billion parameters.
- GPT-4 excels in accurately following complex instructions, while GPT-3.5-turbo may focus on only a specific part of complex instructions.
- GPT-4 exhibits less “hallucination,” generating less made-up information compared to GPT-3.5-turbo.
- GPT-4 has a larger character limit, allowing consideration of more information, with a maximum size of 32k tokens, while GPT-3 is limited to 4k tokens.
- In terms of cost per token, the usage cost of GPT-4 is approximately 2 times higher than that of GPT-3. GPT-4 is also 1.7 times slower compared to GPT-3 model.
Learn more: GPT-4 vs GPT-3: A complete comparison
By understanding these differences, users can make informed choices regarding the model that best suits their needs and budget.