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Table Of Contents
- Introduction
- GPT-4 Is Now Accessible: Everyone Can Call GPT-4 Through OpenAI API
- Summary
- References
Introduction
In this post, we discuss the topic: GPT-4 Is Now Accessible: Everyone Can Call GPT-4 Through OpenAI API.from now on all paying API customers have access to GPT-4.
What is GPT-4?
GPT-4 is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities
GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses.
These all are the models with GPT-4,
GPT-4 Model Pricing
Which is 20% more costly than the gpt-3.5-turbo model. Also, it has more context length than the gpt-3.5-turbo model which is good if you have a long context.
GPT-4 Is Now Accessible: Everyone Can Call GPT-4 Through OpenAI API
Now we call GPT-4 using Python through OpenAI API.
Setup OpenAI API Key
To call GPT-4 first, we have required OpenAI’s API key, which is paid. You can buy it from the below URL,
NOTE: You don’t need to buy an OpenAI API key for the personal use cases if you have any further plans then you can buy it.
After buying an OpenAI API key we have to set it up in the .env file which OpenAI recommends, for that create a .env file and paste the API key as below,
Install Required Libraries
Second, we have to install the required libraries, so we install these libraries using pip, Python package manager.
pip install openai python-dotenvCall GPT-4 Model Using Python
Now we create an app.py file and paste the below code into this file.
import os
import openai
from dotenv import load_dotenv,find_dotenv
__ = load_dotenv(find_dotenv()) #read local .env file
openai.api_key=os.environ["OPENAI_API_KEY"]
def model_response(user_text):
completion = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "user", "content": user_text}
])
result=completion.choices[0]['message']
return result
if __name__=='__main__':
question="what is generative ai"
model_response_data=model_response(question)
print(model_response_data)now run the file,
python3 app.pyAnd the response to the above code is as below,
{
"role": "assistant",
"content": "Generative AI refers to a category of artificial intelligence models and systems that are capable of generating new content or outputs that are similar to existing data. These models are designed to learn patterns and characteristics from training data and then generate new data or content based on that learning.\n\nGenerative AI models can be used in a variety of applications, such as generating realistic images or videos, composing music, creating natural language text, or even producing new products or designs. They have the ability to generate creative and original outputs that may not have been explicitly programmed.\n\nMany generative AI models use deep learning techniques, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to learn the underlying patterns and generate new content. These models are trained on large datasets and can produce outputs that are visually or semantically similar to the training data, while also introducing variations and creativity.\n\nThe development of generative AI has opened up exciting possibilities in many fields, including art, entertainment, design, and even scientific research. However, it also raises ethical concerns, such as the potential for misuse or the creation of realistic fake content."
}
This type of response we get.
Note: OpenAI also says that they are planning to open up access to new developers by the end of this month, and then start raising rate limits after that depending on compute availability.
So if you can’t call the GPt-4 Model through the API please wait for some time…
Summary
Also, you can read more learning about OpenAI,
Happy Learning And Keep Learning…
Thank You…