OpenAI GPT-4o LLM
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A OpenAI GPT-4o LLM is an OpenAI GPT-4 multimodal LLM released on 2024-05-13.
- Context:
- It can process Text, Image, and Audio Data simultaneously.
- It can provide Real-Time Speech Recognition and Real-Time Text-to-Speech.
- It can perform Visual Understanding.
- It can (typically) be cheaper than GPT-4 Turbo.
- It has enhanced Safety Features built-in and has undergone extensive External Red Teaming.
- ...
- Example(s):
gpt-4o-2025-05-13.- GPT-4o mini.
- ...
- Counter-Example(s):
- See: OpenAI LLM Model, Foundation Neural Model.
References
2024
- Perplexity
- GPT-4o, the latest iteration of OpenAI's Generative Pre-Trained Transformer (GPT) series, introduces several significant advancements and features. Here is a detailed overview based on the provided sources:
- Key Features and Capabilities
- Multimodal Abilities: GPT-4o is a multimodal model capable of processing and generating text, audio, and visual inputs and outputs. This integration allows for more natural and intuitive human-computer interactions, as users can engage with the AI using various forms of data simultaneously[1][2][3][4].
- Performance Enhancements
- **Speed and Cost Efficiency**: GPT-4o is twice as fast and 50% cheaper than its predecessor, GPT-4 Turbo. It also has a five times higher rate limit, allowing for up to 10 million tokens per minute[1][2][3][4].
- **Context Window**: The model supports a context window of up to 128,000 tokens, enabling it to maintain coherence over longer conversations or documents[1][2][3][4].
- **Response Time**: GPT-4o can respond to audio inputs in as little as 232 milliseconds, with an average response time of 320 milliseconds, making interactions feel more fluid and human-like[2][3][4].
- Multilingual Support: GPT-4o supports over 50 languages and offers real-time translation capabilities, enhancing its utility for global communication and multilingual applications[3][4].
- Enhanced Vision and Audio Capabilities
- **Vision**: The model can process and respond to visual inputs effectively, making it suitable for tasks involving image recognition and description[1][3][4].
- **Audio**: GPT-4o improves on previous models in terms of speech recognition and audio translation, outperforming models like Whisper-v3[4].
- Safety and Reliability: GPT-4o includes enhanced safety protocols designed to minimize the generation of incorrect or misleading information, ensuring outputs are appropriate and safe for users[2][4].
- Use Cases and Applications
- Enterprise Applications: GPT-4o is suitable for various enterprise applications, particularly those that do not require fine-tuning on custom data. It can be used alongside custom fine-tuned models and pre-trained open-source models to create comprehensive AI solutions[1].
- Accessibility and User Experience
- **Free and Plus Tiers**: GPT-4o is available to both free and Plus users of ChatGPT, with Plus users enjoying higher usage limits and access to advanced features[3][4].
- **API Access**: Developers can integrate GPT-4o into their applications via the OpenAI API, leveraging its text and vision capabilities[2][4].
- Real-Time Interactions: The model's ability to engage in real-time verbal conversations without noticeable delays makes it ideal for applications requiring immediate and natural responses[2][3][4].
- Limitations and Challenges
- Long Context Retrieval: Despite its large context window, GPT-4o has been reported to struggle with long context retrieval compared to other models like Gemini 1.5 Pro and Claude 3 Opus. This limitation may affect its performance in tasks requiring extensive context management[6][7].
- System Instructions and Evals: Some users have reported that GPT-4o performs poorly on certain system instructions and evaluation benchmarks compared to GPT-4 Turbo. This may be due to the new architecture and the need for tailored prompts[5].
- In summary, GPT-4o represents a significant advancement in multimodal AI, offering enhanced performance, cost efficiency, and a broader range of capabilities. However, it also faces challenges in specific areas like long context retrieval and system instruction adherence, which may require further optimization and user adaptation.
- Citations:
[1] https://blog.roboflow.com/gpt-4o-vision-use-cases/ [2] https://www.techtarget.com/whatis/feature/GPT-4o-explained-Everything-you-need-to-know [3] https://builtin.com/articles/GPT-4o [4] https://openai.com/index/hello-gpt-4o/ [5] https://thezvi.substack.com/p/gpt-4o-my-and-google-io-day [6] https://www.reddit.com/r/OpenAI/comments/1ctzkpk/gpt4o_struggles_with_long_context_retrieval/ [7] https://community.openai.com/t/gpt-4o-context-window-confusion/761439
2024
- (OpenAI, 2045c) ⇒ OpenAI. (2024). "Hello GPT-4o."
- QUOTE: "GPT-4o introduces capabilities to handle text, images, and audio simultaneously, significantly enhancing the model's utility and accessibility."
- NOTE:
- GPT-4o is a multimodal AI model that can process text, images, and audio/speech data in real-time, offering a significant advancement over previous models.
- It provides real-time speech recognition and text-to-speech capabilities, allowing for more natural voice interactions with the ability to adjust emotional tone and speaking style.
- GPT-4o demonstrates improved visual understanding, enabling it to analyze complex content such as images, code, and equations.
- The model operates faster and at half the cost of GPT-4 Turbo, making it more efficient and accessible for various applications.
- Potential applications include interview preparation, interactive games, real-time translation, and customer service interactions.
- Enhanced built-in safety features have been implemented, and the model has undergone extensive external red teaming to identify and mitigate risks associated with its novel capabilities.
- GPT-4o will be made available to all users, including those on the free tier of ChatGPT, with a phased rollout beginning with text and image capabilities, followed by audio and video.