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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'gpt-4o',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
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Product Detail
✨ GPT-4o: The Next Generation Multimodal AI
GPT-4o, developed by OpenAI, represents a significant leap in artificial intelligence, seamlessly integrating text, vision, and soon, audio capabilities. Released in stages starting in May 2024, this flagship model is the latest iteration in the GPT-4 series, designed for real-time reasoning and unparalleled versatility.
💡 Key Highlights of GPT-4o
- Multimodal Mastery: Unified capabilities across text, vision, and upcoming audio support.
- Enhanced Function Calling & JSON Mode: Improved integration for developers.
- Advanced Vision: Superior image understanding and interpretation.
- Global Language Support: Significantly improved performance for non-English languages.
- Cost-Effective & Faster: Increased rate limits and reduced cost in API usage.
Basic Information
Model Name: GPT-4o
Developer/Creator: OpenAI
Release Date: Released in stages starting in May 2024
Version: Latest iteration of the GPT-4 series
Model Type: Multimodal AI (Text, Vision, and upcoming Audio support)
Intended Use Cases
GPT-4o is specifically designed for developers and enterprises aiming to integrate cutting-edge AI into diverse applications. This includes advanced chatbots, sophisticated content generation, and complex data interpretation.
Medical Imaging Capabilities: Notably, GPT-4o achieves approximately 90% accuracy in interpreting radiology images such as X-rays and MRIs. Learn more about this and other AI models in healthcare applications: Healthcare AI Applications .
Enhanced Language Support: With improved tokenization, GPT-4o offers robust support for multiple languages, making it highly valuable for global deployments.
⚙️ Technical Specifications
Architecture & Training
Architecture: Based on the highly efficient Transformer architecture, optimized for speed and seamless multimodal integration.
Training Data: Trained on an extensive and diverse range of internet text and structured data.
Knowledge Cutoff: Information is current up to October 2023.
Data Source & Size: Utilizes an extensive internet-based dataset, with its exact size undisclosed by OpenAI.
Diversity & Bias: Rigorously trained on diverse datasets to minimize bias and ensure robustness across various demographics.
🚀 Performance Benchmarks
OpenAI's self-released test results demonstrate that GPT-4o consistently achieves significantly better or comparable scores when benchmarked against other leading Large Multimodal Models (LMMs). This includes previous GPT-4 versions, Anthropic's Claude 3 Opus, Google's Gemini, and Meta's Llama3.
Key Performance Indicators:
- Accuracy: GPT-4o sets new benchmarks in audio translation, outperforming rival models from Meta and Google, as well as OpenAI's own Whisper-v3.
- Speed: Achieves an average audio input reaction time of 232 milliseconds (max 320ms), comparable to human conversation. It's also 50% more cost-effective in API usage.
- Robustness: Demonstrates enhanced ability to handle diverse inputs and maintain consistent performance across various languages and modalities.
For a deeper dive into GPT-4o's innovative capabilities, refer to OpenAI's official blog, "ChatGPT-4o. 7 features you might've missed."
🛠️ Usage & Applications
Code Samples / SDK:
Developers can integrate GPT-4o into their applications using available SDKs. Here's an example of how a chat completion might be invoked:
import openai
client = openai.OpenAI()
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is GPT-4o?"}
]
)
print(response.choices[0].message.content)
🎯 Key GPT-4o Use Cases
1. OCR with GPT-4o
GPT-4o excels in Optical Character Recognition (OCR) tasks, accurately converting images to text. It can reliably answer prompts like "Read the serial number" or "Read the text from the picture," making it highly effective for digitizing information.
2. Document Understanding
The model demonstrates strong performance in extracting specific details from text-heavy images. For instance, when presented with a receipt and asked "How much fee did I pay?" or a food menu with "What is the price of Ham Restaurant?", GPT-4o consistently provides accurate answers.
3. Real-time Computer Vision Applications
Leveraging its enhanced speed and integrated visual/audio capabilities, GPT-4o unlocks powerful real-time computer vision applications. Interacting with live visual data enables rapid intelligence gathering and decision-making crucial for tasks such as navigation, translation, guided assistance, and complex visual information analysis.
4. Client Support Transformation
GPT-4o revolutionizes customer service by enabling more accurate, empathetic, and personalized round-the-clock support through AI-driven chatbots. It fundamentally changes how businesses engage with their customers, improving satisfaction and efficiency.
⚖️ Licensing Information
- Commercial licensing is available. Specifics can be obtained directly through OpenAI.
❓ Frequently Asked Questions (FAQ)
Q1: What is GPT-4o's primary capability?
A1: GPT-4o is a multimodal AI model that integrates text, vision, and upcoming audio support, enabling real-time reasoning across these modalities.
Q2: How does GPT-4o compare to previous models in terms of speed and cost?
A2: GPT-4o boasts an average audio input reaction time of 232 milliseconds, comparable to human response. It is also 50% more cost-effective in its API usage compared to previous versions, while matching GPT-4 Turbo performance on English text and code.
Q3: Can GPT-4o be used for medical applications?
A3: Yes, GPT-4o demonstrates high accuracy (approximately 90%) in interpreting radiology images like X-rays and MRIs, making it a powerful tool for medical imaging applications.
Q4: What are some key enterprise applications for GPT-4o?
A4: GPT-4o is ideal for client support (chatbots), document understanding, real-time computer vision (e.g., navigation, guided assistance), and advanced content generation.
Q5: What is GPT-4o's knowledge cutoff date?
A5: GPT-4o's knowledge is current up to October 2023.
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