GPT 4o (GPT-4o or GPT4o) : OpenAI's multimodal AI model, OpenAI's multimodal AI model
GPT-4o, OpenAI's latest flagship model, revolutionizes human-computer interaction by seamlessly integrating text, audio, and vision capabilities. Designed for developers and tech enthusiasts, GPT-4o excels in real-time reasoning across multiple modalities, generating text twice as fast and at half the cost of its predecessor, GPT-4 Turbo. This model is particularly adept at understanding and processing non-English languages, making it a versatile tool for global applications. With its advanced vision and audio understanding, GPT-4o can interpret images and respond to audio inputs with human-like speed and accuracy. Experience the future of AI by exploring GPT-4o's capabilities in the OpenAI Playground or ChatGPT.
GPT-4o, OpenAI's latest flagship model, represents a significant leap in AI technology. This article delves into the various features and capabilities of GPT-4o, highlighting its potential applications and benefits for users.
GPT-4o is designed to handle multiple input modalities, including text, audio, and images, and can generate outputs in these formats as well. This multimodal functionality allows for more natural and versatile human-computer interactions.
GPT-4o is not only more capable but also more efficient than previous models.
GPT-4o offers enhanced performance across non-English languages, making it a valuable tool for global applications.
GPT-4o's vision capabilities allow it to understand and interpret images, providing detailed descriptions and answering questions about visual content.
OpenAI has implemented robust safety measures to ensure responsible use of GPT-4o.
GPT-4o offers numerous benefits to users, including:
GPT-4o is designed to integrate seamlessly with existing systems and applications.
Users can start using GPT-4o through several channels:
GPT-4o represents a significant advancement in AI technology, offering enhanced performance, multimodal capabilities, and superior multilingual support. Its efficiency and cost-effectiveness make it a valuable tool for a wide range of applications, from real-time voice interactions to detailed image analysis. With robust safety measures and seamless integration options, GPT-4o is poised to revolutionize human-computer interactions.
GPT-4o is OpenAI's latest flagship model, designed to reason across audio, vision, and text in real time. It is a multimodal model that accepts text, audio, and image inputs and generates text, audio, and image outputs.
GPT-4o is more efficient than previous models, generating text 2x faster and at 50% of the cost of GPT-4 Turbo. It also has enhanced vision and performance across non-English languages.
GPT-4o can process and generate text, audio, and images. It is particularly strong in vision and audio understanding, and it performs well in multilingual contexts.
GPT-4o processes audio inputs in as little as 232 milliseconds, with an average response time of 320 milliseconds. It can directly observe tone, multiple speakers, and background noises, and it can output laughter, singing, and express emotion.
GPT-4o can be used for a variety of applications, including real-time conversation, multilingual translation, image recognition, and audio processing. It is suitable for both personal and professional use.
GPT-4o has been optimized for non-English languages, achieving significant improvements in text generation and understanding. It uses a new tokenizer that compresses language tokens more efficiently.
GPT-4o includes built-in safety features across all modalities. These include filtering training data, refining model behavior through post-training, and implementing new safety systems for voice outputs.
GPT-4o can be accessed via the OpenAI API, making it compatible with various applications and systems. It supports both text and vision inputs and outputs, with plans to roll out audio and video capabilities soon.
GPT-4o is priced at $5.00 per 1 million input tokens and $15.00 per 1 million output tokens. This pricing applies to both the general GPT-4o model and the specific version released on May 13, 2024.
Developers can access GPT-4o through the OpenAI API. The model supports text and vision inputs and outputs, with audio and video capabilities to be launched for a small group of trusted partners in the coming weeks.
While GPT-4o excels in many areas, it may not always answer detailed questions about the location of objects in images accurately. It is also still being explored for its full range of capabilities and limitations.
Images can be provided to GPT-4o via a URL or as base64 encoded data. The model can process multiple images and use the information to answer questions about them.
GPT-4o has been successfully used in various applications, including real-time multilingual translation, image recognition for inventory management, and audio processing for customer service.
Future developments for GPT-4o include the rollout of audio and video capabilities, improvements in real-time feedback mechanisms, and further optimization for non-English languages.
Users can provide feedback through the OpenAI platform. This feedback is crucial for identifying areas where GPT-4 Turbo may still outperform GPT-4o and for guiding future improvements to the model.
Pricing Plans:
Free Tier:
Plus Plan:
API Access:
Refund Policy:
Purchase Process:
Customer Support:
Action:
GPT-4o is OpenAI's latest multimodal model, capable of processing text, audio, and images in real-time. This tutorial aims to guide users through the basic setup and usage of GPT-4o, highlighting its key features and capabilities. This guide is suitable for both novice and intermediate users who are familiar with basic AI concepts and API usage.
Before diving into the tutorial, ensure you have the following:
To begin, set up your development environment. This tutorial uses Python, but similar steps can be followed for other languages.
Install the OpenAI Python Library:
pip install openai
Import the Library and Set Up Your API Key:
import openai
openai.api_key = 'YOUR_OPENAI_API_KEY'
GPT-4o can handle text inputs and generate text outputs efficiently. Here’s how to get started:
Create a Simple Text Completion Request:
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=[
{"role": "user", "content": "Tell me a joke."}
]
)
print(response.choices[0].message['content'])
Handling Longer Conversations: GPT-4o supports a context window of up to 128,000 tokens, allowing for extended interactions.
conversation = [
{"role": "user", "content": "Tell me a joke."},
{"role": "assistant", "content": "Why don't scientists trust atoms? Because they make up everything!"}
]
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=conversation
)
print(response.choices[0].message['content'])
GPT-4o can process images and provide descriptive text outputs. Here’s how to use this feature:
Using Image URLs:
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
}
}
]
}
]
)
print(response.choices[0].message['content'])
Using Base64 Encoded Images:
import base64
def encode_image(image_path):
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode('utf-8')
base64_image = encode_image("path_to_your_image.jpg")
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": f"data:image/jpeg;base64,{base64_image}"
}
}
]
}
]
)
print(response.choices[0].message['content'])
GPT-4o can also process audio inputs and generate audio outputs. This feature is currently in alpha and will be available to select users.
Transcribing Audio to Text:
# This feature will be available soon. Stay tuned for updates.
Generating Audio Responses:
# This feature will be available soon. Stay tuned for updates.
Q: How fast is GPT-4o compared to previous models? A: GPT-4o generates text 2x faster and is 50% cheaper than GPT-4 Turbo.
Q: Can GPT-4o handle multiple languages? A: Yes, GPT-4o has improved performance across non-English languages.
Q: What are the safety measures in place for GPT-4o? A: GPT-4o includes built-in safety features, filtering training data, and refining model behavior through post-training.
For feedback or support, visit the OpenAI Support Page or contact OpenAI directly through their contact form.
Start exploring the capabilities of GPT-4o today. Try integrating it into your projects and see how it can enhance your applications. Happy coding! 🚀
GPT-4o is a highly advanced multimodal AI model developed by OpenAI. It can process and generate text, audio, and images, making it a versatile tool for various applications. The model is available through the OpenAI API, which allows developers to integrate its capabilities into their own applications and services.
Using the GPT-4o API can facilitate the import of advanced AI functionalities into your applications. This includes text generation, image analysis, and audio processing. At present, it has been linked with several digital products, and more products are being linked one after another. Use the API to build personal workflows or enhance team productivity by leveraging GPT-4o's capabilities.
Here are some examples of how to use the GPT-4o API in different programming languages:
Python Example:
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
},
],
}
],
max_tokens=300,
)
print(response.choices[0])
Curl Example:
curl https://api.openai.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-d '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What’s in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
}
}
]
}
],
"max_tokens": 300
}'
Node.js Example:
import OpenAI from "openai";
const openai = new OpenAI();
async function main() {
const response = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
{
role: "user",
content: [
{ type: "text", text: "What’s in this image?" },
{
type: "image_url",
image_url: {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
},
],
},
],
});
console.log(response.choices[0]);
}
main();
While GPT-4o is highly capable, it has some limitations:
GPT-4o has built-in safety features to filter training data and refine the model’s behavior. It has undergone extensive testing to ensure it does not pose high risks in areas such as cybersecurity, bias, and misinformation. Users are encouraged to provide feedback to help identify and mitigate any remaining risks.
GPT-4o represents a significant advancement in AI technology, offering powerful multimodal capabilities through the OpenAI API. By integrating GPT-4o into your applications, you can enhance functionality and improve user experiences across text, image, and audio processing tasks.