GPT4o Release !!

GPT-4o: OpenAI’s Revolutionary Multimodal LLM

Curiosity: What happens when a single model can seamlessly understand and generate across text, audio, and vision in real-time? How does this innovation reshape human-AI interaction?

GPT-4o represents a breakthrough in multimodal AI, combining text, image, and voice capabilities in a single, unified model. Most importantly, it’s free for all users, making advanced AI accessible to everyone.

Key Announcements

graph TB
    A[GPT-4o Release] --> B[Free for All Users]
    A --> C[Multimodal Capabilities]
    A --> D[Improved Performance]
    A --> E[Better API]
    
    C --> C1[Text]
    C --> C2[Image]
    C --> C3[Audio]
    C --> C4[Video]
    
    E --> E1[2x Faster]
    E --> E2[50% Cheaper]
    E --> E3[5x Rate Limits]
    
    style A fill:#e1f5ff
    style B fill:#fff3cd
    style C fill:#d4edda
    style E fill:#f8d7da

Major Features

Feature	Description	Impact
Free Access	Available to all users	⬆️ Accessibility
Native Multimodal	Single model for all modalities	⬆️ Efficiency
Real-Time Voice	320ms average latency	⬆️ Natural interaction
Improved API	2x faster, 50% cheaper	⬆️ Cost efficiency
Better Performance	Outperforms GPT-4	⬆️ Quality

Multimodal Capabilities

Input Types:

• 📥 Text
• 📥 Text + Image
• 📥 Text + Audio
• 📥 Text + Video
• 📥 Audio

Output Types:

• 📤 Image
• 📤 Image + Text
• 📤 Text
• 📤 Audio

Performance Benchmarks

Benchmark	Score	Comparison
MMLU	88.7%	General knowledge
HumanEval	90.2%	Code generation
MMU	69.1%	Multimodal understanding
DocVQA	92.8%	Document understanding
WER (Western European)	< 5%	Speech transcription

Technical Improvements

1. New Tokenizer

Retrieve: Enhanced tokenization with 200k vocabulary (previously 100k).

Benefits:

• 🔡 1.1x - 4.4x fewer tokens across 20 languages
• ⚡ Faster processing
• 💰 Lower costs
• 🌐 Better multilingual support

2. API Improvements

Innovate: Significant improvements for developers.

Metric	Improvement	Impact
Speed	2x faster	⬆️ Throughput
Cost	50% cheaper	⬇️ Expenses
Rate Limits	5x higher	⬆️ Scalability

3. Real-Time Voice

Retrieve: Near-human conversation latency.

• 🎤 320ms average latency
• 🎶 Natural, interruptible speech
• 💬 Real-time interaction
• 🗣️ More human-like voice

New Interface Features

graph LR
    A[GPT-4o Interface] --> B[Voice Control]
    A --> C[Screen Sharing]
    A --> D[Interactive Mode]
    
    B --> B1[Real-Time Speech]
    C --> C1[Visual Context]
    D --> D1[Camera Integration]
    
    style A fill:#e1f5ff
    style B fill:#fff3cd
    style C fill:#d4edda
    style D fill:#f8d7da

New Capabilities:

• 🎤 Voice control and screen-sharing
• 💬 Interactive mode with camera
• 🖼️ Simultaneous image sharing and communication
• ⚡ Real-time multimodal interaction

Use Cases

Use Case	GPT-4o Advantage	Example
Real-Time Assistance	Low latency voice	Customer support
Multimodal Analysis	Unified model	Document understanding
Cost-Effective API	50% cheaper	High-volume applications
Interactive Apps	Camera + voice	Educational tools

Comparison: GPT-4 vs. GPT-4o

Aspect	GPT-4	GPT-4o	Improvement
Modalities	Text, Image	Text, Image, Audio, Video	⬆️ More
Voice Latency	High	320ms	⬆️ Real-time
API Speed	Baseline	2x faster	⬆️ 2x
API Cost	Baseline	50% cheaper	⬇️ 50%
Tokenizer	100k vocab	200k vocab	⬆️ Better
Access	Paid	Free	⬆️ Accessible

Key Takeaways

Retrieve: GPT-4o represents a significant leap in multimodal AI, offering real-time voice, improved performance, and free access to advanced capabilities.

Innovate: The unified multimodal architecture and improved API enable new applications in real-time interaction, cost-effective deployment, and seamless human-AI collaboration.

Curiosity → Retrieve → Innovation: Start with curiosity about multimodal AI, retrieve insights from GPT-4o’s capabilities, and innovate by building applications that leverage real-time, multimodal interaction.

📖 Official Blog: https://openai.com/index/hello-gpt-4o/

Note: While GPT-4o’s multimodal achievements and latency are impressive, open-source AI remains strong and equally suitable for enterprise use cases that don’t require 200ms voice latency. ✅

Translate to Korean

---

🤯 OpenAI 의 새로운 멀티모달 LLM은 텍스트, 오디오, 비전을 실시간으로 이해하고 생성할 수 있습니다.

💬🗣️👀 지금까지 우리가 알고 있는 것은 다음과 같습니다.

자세히

• OpenAI는 GPT-4보다 성능이 뛰어난 새로운 GPT-4o 모델을 발표했지만 가장 중요한 것은 모든 사용자에게 무료로 제공된다는 것입니다! 🚀 ⠀
• 음성 제어 및 화면 공유 기능이 있는 업데이트된 인터페이스 및 PC 응용 프로그램이 도입🎤되었습니다 ⠀
• 기본적으로 멀티모달: 현재 텍스트, 이미지 및 음성 생성은 하나의 모델🗣️로 수행됩니다. ⠀
• GPT4💰에 비해 2배 더 빠르고, 50% 더 저렴하고, 5배 더 높은 속도 제한 API를 지원하기 때문에 개발자도 잊지 않습니다 ⠀
• 음성 모드가 크게 개선되어 이제 모델 생성이 끝날 때까지 기다리지 않고 언제든지 모델 생성을 중단할 수 있습니다. OpenAI는 또한 음성 생성을 실시간 수준으로 끌어올렸으며 가장 중요한 것은 ChatGPT 음성을 실제로 생생하게 만드는 것입니다! 🎶 ⠀
• 카메라의 이미지를 동시에 공유하고 ChatGPT와 소통할 수 있는 대화형 모드도 있습니다! 💬 ⠀

요약

• 📥 입력: 텍스트, 텍스트 + 이미지, 텍스트 + 오디오, 텍스트 + 비디오, 오디오(예제 기반)
• 📤출력: 이미지, 이미지 + 텍스트, 텍스트, 오디오(예제 기반)
• 🌐 MMLU에서 88.7%; HumanEval에서 90.2%
• 🎧< 5% WER for Western European languages in transcription
• 🖼️ 69.1% on MMU; 92.8% on DocVQA
• ⚡ Up to 50% cheaper (probably due to tokenization improvements) and 2x faster than GPT-4 Turbo
• 🎤 Near real-time audio with 320ms on average, similar to human conversation
• 🔡 New tokenizer with a 200k token vocabulary (previously 100k vocabulary) leading to 1.1x - 4.4x fewer tokens needed across 20 languages

Blog: https://openai.com/index/hello-gpt-4o/

The multimodal achievement and latency are impressive. 🔥 But I’m not worried about open-source AI. Open Source is stronger than ever and equally good for enterprises and companies use cases where you don’t need a 200ms latency with voice input. ✅