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GPT 4o 2024‑05‑13

Discover GPT-4o-2024-05-13 API, OpenAI's advanced multimodal model for text, image, and audio processing, designed for real-time applications.‍
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GPT 4o 2024‑05‑13

GPT-4o-2024-05-13 is the initial release version that established the GPT-4o multimodal model.

GPT-4o-2024-05-13 Description

GPT-4o-2024-05-13, developed by OpenAI, marks the initial release of the GPT-4o series, a state-of-the-art multimodal language model designed to process and generate text, images, and audio. Launched on May 13, 2024, this version emphasizes real-time interaction capabilities and supports complex multi-step tasks across various data types, making it highly versatile for dynamic applications.

Technical Specifications

GPT-4o-2024-05-13 utilizes a transformer architecture with a native context window of 128,000 tokens and can generate up to 16,384 output tokens per request. It is trained on diverse multimodal datasets spanning text, images, and audio across multiple domains to ensure broad knowledge and robustness. The knowledge cutoff for this model is October 2023.

Key Features
  • Multimodal Processing: Supports text, image, and audio inputs natively, producing text-based outputs suitable for a wide variety of tasks.
  • Real-Time Interaction: Enables near human-like response times (~320 ms), ideal for conversational AI, customer support, and interactive assistants.
  • Multilingual Support: Handles multiple languages efficiently with token usage optimized for non-Latin alphabets, covering over 50 languages and reaching 97% of global speakers.
  • Enhanced Understanding: Recognizes spoken audio tones and emotions, improving conversational nuance and user experience.
  • Customization: Offers corporate fine-tuning by uploading proprietary datasets for domain-specific adaptations, particularly useful for business applications.
Intended Use
  • Interactive AI assistants and chatbots requiring multimodal input and quick, accurate responses.
  • Customer support systems integrating text, image, and audio data for enhanced service delivery.
  • Content generation for multimedia projects combining text with visual and audio elements.
  • Medical imaging analysis, achieving approximately 90% accuracy in interpreting radiology images such as X-rays and MRIs.
  • Education tools offering rich, responsive interactions across languages.

Learn more about this and other models and their applications in Healthcare here.

Performance Benchmarks

The model achieves an impressive MMLU score of 88.7 (5-shot), demonstrating strong knowledge proficiency, and a HumanEval score of 91.0 (0-shot), reflecting its advanced programming capabilities. Multimodal benchmark performance (MMMU score) is 69.1, validating its ability to handle audio and visual inputs effectively. It generates text at an approximate speed of 72 to 109 tokens per second, with an average response latency around 320 milliseconds, substantially faster than predecessors like GPT-4 Turbo. GPT-4o is also about 50% more cost-effective on input and output tokens compared to GPT-4 Turbo.

Comparison to Other Models

As GPT-4o currently points to this version (GPT-4o-2024-05-13), while comparing the models focus on GPT-4o.

Credits to Artificial Analysis

Compared to GPT-4 Turbo, GPT-4o-2024-05-13 delivers:

  • 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%.

Usage

Code Samples

The model is available on the AI/ML API platform as "gpt-4o-2024-05-13".

API Documentation

Detailed API Documentation is available on the AI/ML API website, providing comprehensive guidelines for integration

Ethical Guidelines and Licensing

OpenAI applies stringent safety and bias mitigation protocols to GPT-4o, ensuring responsible and fair model use. The model is available with commercial usage rights, allowing businesses to seamlessly adopt it into their applications.

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