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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-2024-05-13',
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-2024-05-13",
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
Introducing GPT-4o-2024-05-13: OpenAI's Advanced Multimodal Model
GPT-4o-2024-05-13, the foundational release in the GPT-4o series, is OpenAI's cutting-edge multimodal language model. Launched on May 13, 2024, this innovative model is engineered to seamlessly process and generate content across text, images, and audio. Its design prioritizes real-time interaction and adeptly handles complex, multi-step tasks across diverse data types, making it exceptionally versatile for dynamic applications.
GPT-4o: A breakthrough in multimodal AI interaction.
Technical Specifications and Core Capabilities
GPT-4o-2024-05-13 is built upon a robust transformer architecture, featuring a native context window of 128,000 tokens and the capability to generate up to 16,384 output tokens per request. Its training involves diverse multimodal datasets, encompassing text, images, and audio across multiple domains, ensuring comprehensive knowledge and resilience. The model's knowledge cutoff is set at October 2023.
⭐Key Features of GPT-4o
- Multimodal Processing: Natively supports text, image, and audio inputs, yielding text-based outputs for a broad spectrum of tasks.
- Real-Time Interaction: Achieves near human-like response times (approximately 320 ms), perfect for conversational AI, customer support, and interactive assistants.
- Multilingual Support: Efficiently handles over 50 languages, reaching 97% of global speakers, with optimized token usage for non-Latin alphabets.
- Enhanced Understanding: Recognizes spoken audio tones and emotions, significantly improving conversational nuance and user experience.
- Customization: Offers corporate fine-tuning capabilities by uploading proprietary datasets for domain-specific adaptations, particularly beneficial for business applications.
🎯Intended Use Cases
- Interactive AI assistants and chatbots demanding multimodal input and rapid, precise responses.
- Customer support systems that integrate text, image, and audio data for superior service delivery.
- Content generation for multimedia projects, seamlessly blending text with visual and audio elements.
- Medical imaging analysis, demonstrating approximately 90% accuracy in interpreting radiology images such as X-rays and MRIs.
- Educational tools providing rich, responsive, and multilingual interactions.
Learn more about this and other models and their applications in Healthcare here.
Performance Benchmarks and Competitive Edge
GPT-4o-2024-05-13 showcases remarkable performance across key benchmarks:
- MMLU Score: 88.7 (5-shot), indicating strong knowledge proficiency.
- HumanEval Score: 91.0 (0-shot), reflecting advanced programming capabilities.
- MMMU Score (Multimodal): 69.1, validating its effective handling of audio and visual inputs.
- Text Generation Speed: Approximately 72 to 109 tokens per second.
- Average Response Latency: Around 320 milliseconds, significantly faster than predecessors like GPT-4 Turbo.
Furthermore, GPT-4o offers a notable advantage in cost-efficiency, being approximately 50% more cost-effective on input and output tokens compared to GPT-4 Turbo.
📊Comparison to Other Models (Focus: GPT-4o vs. GPT-4 Turbo)
Note: As GPT-4o currently points to this version (GPT-4o-2024-05-13), comparisons primarily highlight GPT-4o's capabilities.
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Credits to Artificial Analysis
When compared to its predecessor, GPT-4 Turbo, GPT-4o-2024-05-13 offers significant advancements:
- Lower latency and approximately fivefold higher token generation throughput (109 vs. 20 tokens/sec).
- Improved accuracy in multilingual and multimodal tasks.
- A larger context window (128K tokens), enabling more extensive document and conversation understanding.
- More cost-efficient token pricing, reducing operation expenses by around 50%.
Integration and Responsible AI Deployment
💻Usage & API Access
The GPT-4o-2024-05-13 model is readily available on the
AI/ML API platform
under the identifier "gpt-4o-2024-05-13".
Code Samples:
API Documentation:
Comprehensive guidelines for seamless integration are provided in the Detailed API Documentation, available on the AI/ML API website.
🛡️Ethical Guidelines and Licensing
OpenAI maintains stringent safety and bias mitigation protocols for GPT-4o, ensuring responsible and fair utilization of the model. The model is provided with commercial usage rights, facilitating seamless adoption by businesses into their diverse applications.
❓Frequently Asked Questions (FAQ)
1. What is GPT-4o-2024-05-13?
GPT-4o-2024-05-13 is the initial release of OpenAI's GPT-4o series, a state-of-the-art multimodal language model launched on May 13, 2024. It can process and generate text, images, and audio, focusing on real-time interaction.
2. How does GPT-4o compare to GPT-4 Turbo?
GPT-4o offers significantly lower latency, approximately five times higher token generation throughput (109 vs. 20 tokens/sec), improved accuracy in multimodal tasks, a larger context window (128K tokens), and is about 50% more cost-effective.
3. What are the key features of GPT-4o-2024-05-13?
Its key features include native multimodal processing (text, image, audio), real-time interaction capabilities (~320 ms response time), multilingual support for over 50 languages, enhanced understanding of audio tones/emotions, and corporate fine-tuning options.
4. Can GPT-4o be used for medical imaging analysis?
Yes, GPT-4o has demonstrated strong performance in medical imaging analysis, achieving approximately 90% accuracy in interpreting radiology images such as X-rays and MRIs.
5. What is the knowledge cutoff for GPT-4o-2024-05-13?
The knowledge cutoff for this version of GPT-4o is October 2023.
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