All You Need To Know About Open AI GPT-4o(Omni) Model With Live Demo

Krishn's YouTube channel presents an exciting update from Open AI with the introduction of the GPT-4o (Omni) model. This model is a significant leap towards more natural human-computer interaction, capable of reasoning across audio, vision, and text in real-time. The video showcases live demos where the model interacts using voice and vision, demonstrating its impressive capabilities. With a response time similar to human conversation and enhanced performance in vision and audio understanding, the GPT-4o model is set to revolutionize various applications. It supports 20 languages and offers a more cost-effective API compared to its predecessor. The video also teases future integration possibilities and the potential for a mobile app, making this AI model a game-changer in the field of AI technology.

Takeaways

• 🚀 OpenAI introduces GPT-4o (Omni), a new model that can reason across audio, vision, and text in real time.
• 🎥 The model is showcased in a live demo, interacting through voice and vision without significant lag.
• 📈 GPT-4o (Omni) is capable of matching GPT-4's performance on text in English and code, and is 50% cheaper in the API.
• 👀 The model excels in vision and audio understanding, offering potential for integration in various products.
• 🗣️ It can respond to audio inputs as quickly as 232 milliseconds, averaging at 320 milliseconds, which is close to human response times.
• 🌐 Omni supports 20 languages, including English, French, Portuguese, and several Indian languages.
• 🔍 The model is designed to accept any combination of text, audio, and images as input and generate corresponding outputs.
• 🤖 A demonstration involves an AI with a camera, allowing it to 'see' and interact with the environment, asking and answering questions based on visual cues.
• 📹 The video includes a segment where the AI describes a person's appearance and surroundings in a modern industrial setting.
• 📈 The model's capabilities are evaluated on text, audio performance, audio translation, zero-shot results, and more.
• 📚 There's mention of a future mobile app that could allow users to interact with the model, possibly leveraging its vision capabilities.
• 💡 The video also touches on model safety and limitations, indicating that security measures have been implemented.

Q & A

What is the name of the new model introduced by Open AI?

The new model introduced by Open AI is called GPT 4o (Omni).

What are the capabilities of the GPT 4o (Omni) model?

The GPT 4o (Omni) model can reason across audio, vision, and text in real-time, accepting any combination of text, audio, and images as input and generating any combination of text, audio, and image output.

How does the response time of GPT 4o (Omni) compare to human response time in a conversation?

GPT 4o (Omni) can respond to audio inputs as quickly as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation.

What is the significance of the GPT 4o (Omni) model's performance on text and code in English?

The GPT 4o (Omni) model matches GPT 4's performance on text and code in English, which is significant as it indicates high efficiency and accuracy in these areas.

How does the GPT 4o (Omni) model compare to existing models in terms of vision and audio understanding?

The GPT 4o (Omni) model is especially better at vision and audio understanding compared to the existing models.

What kind of integrations can be imagined with the GPT 4o (Omni) model?

Integrations with products like augmented reality glasses, navigation systems, or any application requiring real-time information about the environment are possible with the GPT 4o (Omni) model.

What are some of the demo scenarios shown in the video?

The video demonstrates scenarios such as interacting with the model through voice and vision, the model generating images from text descriptions, and the model being used in a live setting to describe a scene or answer questions about it.

How many languages does the GPT 4o (Omni) model support?

The GPT 4o (Omni) model supports 20 languages, including English, French, Portuguese, Gujarati, Telugu, Tamil, and Marathi.

What are some of the performance metrics evaluated for the GPT 4o (Omni) model?

Performance metrics evaluated for the GPT 4o (Omni) model include text evaluation, audio performance, audio translation performance, and zero-shot results.

What is the significance of the GPT 4o (Omni) model being 50% cheaper in the API compared to GPT 4?

The reduced cost in the API makes the GPT 4o (Omni) model more accessible and affordable for developers and businesses, potentially leading to wider adoption and integration in various applications.

What is the potential impact of the GPT 4o (Omni) model on the market?

The GPT 4o (Omni) model could revolutionize the market by enabling more natural human-computer interactions and providing a foundation for innovative products and services that leverage advanced AI capabilities.

Outlines

00:00

🚀 Introduction to GPT-40: A Multimodal AI Model

Krishn introduces the audience to GPT-40, a new model by OpenAI that can reason across audio, vision, and text in real-time. He mentions having an account with Chat GPT and having explored the model, which he finds quite impressive. The video will showcase live demos of the model's capabilities, including its real-time processing and interaction through voice and vision. Krishn also draws a comparison with Google's multimodal model and hints at the potential applications of such technology in various industries.

05:01

👀 Exploring the AI's Visual and Auditory Perception

The second paragraph demonstrates the AI's ability to perceive and understand the world through a camera's lens. The AI is given real-time access to visual data, and it describes the scene involving a person, their attire, and the room's ambiance. The interaction involves another AI that cannot see but can ask questions, leading to a detailed description of the environment. The paragraph also touches on the AI's performance in text, audio, and translation, highlighting its support for 20 languages and its safety and limitation measures.

10:05

🎨 Image and Language Interaction with AI

In the final paragraph, Krishn attempts to create an animated image of a dog playing with a cat using the AI's image generation capabilities but is unable to do so, suggesting that this feature might not be currently supported. He then uploads a recent image of his and asks the AI for feedback on how to improve it, without resorting to hiring a graphic designer. The paragraph also discusses the AI's ability to compare with other models and its various features, including fine-tuning. Krishn expresses excitement about the potential of interacting with an app that supports both vision and language and concludes by inviting viewers to look out for more updates on the topic.

Keywords

Open AI GPT-4o(Omni) Model

The Open AI GPT-4o(Omni) Model is a new flagship model introduced by Open AI that has the ability to reason across audio, vision, and text in real time. It represents a significant advancement in AI technology, aiming to facilitate more natural human-computer interactions. The model is capable of accepting various inputs like text, audio, and images, and can generate outputs in the same formats. It is showcased in the video with live demos that highlight its capabilities.

Real Time

Real time, in the context of the video, refers to the model's ability to process and respond to inputs immediately, with minimal lag. This is a crucial feature for interactive applications, as it allows for seamless and dynamic communication between the AI and the user. The video demonstrates the model's real-time capabilities through live interactions and demonstrations.

Multimodal Interaction

Multimodal interaction is the ability of the GPT-4o(Omni) Model to process and generate multiple types of inputs and outputs, such as text, audio, and images. This enhances the user experience by allowing for more natural and intuitive communication with the AI. The video emphasizes the model's multimodal capabilities through various demonstrations, including voice interactions and image recognition.

Human Response Time

Human response time is the average time it takes for a human to react to a stimulus. In the video, the GPT-4o(Omni) Model is noted to have a response time to audio inputs that is comparable to human response times, averaging around 320 milliseconds. This quick reaction time is significant as it contributes to the model's ability to provide a more human-like interaction experience.

Vision and Audio Understanding

Vision and audio understanding refer to the model's capabilities to interpret and make sense of visual and auditory information. The GPT-4o(Omni) Model is said to be particularly adept at understanding visual and audio inputs, which is a significant improvement over previous models. This is demonstrated in the video through the model's ability to describe scenes and respond to visual cues.

Integration

Integration in the context of the video refers to the potential for the GPT-4o(Omni) Model to be incorporated into various products and services. The speaker discusses the possibility of integrating the model with different applications, such as augmented reality glasses, to provide users with information based on their surroundings. This highlights the versatility and potential impact of the model on different industries.

Language Support

The GPT-4o(Omni) Model supports multiple languages, which is a significant feature for global accessibility and user engagement. The video mentions that the model is capable of understanding and generating responses in 20 different languages, including major languages like English, French, and Portuguese, as well as regional languages like Gujarati, Telugu, Tamil, and Marathi. This feature is important for making the AI more inclusive and useful to a wider audience.

Model Safety and Limitations

Model safety and limitations refer to the considerations and constraints put in place to ensure the AI model operates responsibly and ethically. The video briefly touches on the importance of these factors, indicating that security measures have been implemented. This is crucial for building trust with users and ensuring the technology is used in a way that is safe and beneficial.

Live Demo

A live demo is a real-time demonstration of a product or technology. In the video, several live demos are presented to showcase the capabilities of the GPT-4o(Omni) Model. These demos serve to provide a tangible and interactive way for viewers to understand the model's features and potential applications.

Image Generation

Image generation is the model's ability to create visual content based on textual or conceptual inputs. The video includes an attempt to create an animated image of a dog playing with a cat, demonstrating the model's potential in generating images. However, the presenter notes that certain features, like animated image generation, might not be available at the time of the video but could be introduced in the future.

Chat GPT 4.0

Chat GPT 4.0 is mentioned as a platform where the GPT-4o(Omni) Model's capabilities will be accessible. It suggests that users will be able to interact with the advanced AI model through this platform, which may include features like fine-tuning and other customization options. The mention of Chat GPT 4.0 indicates the model's intended integration into existing and user-friendly interfaces.

Highlights

Introduction of Open AI's GPT-4 model, also known as Omni, which can reason across audio, vision, and text in real-time.

GPT-4 Omni model offers more capabilities for free in chat GPT.

The model is capable of interacting through vision and voice, showcasing its capabilities in a live demo.

GPT-4 Omni can respond to audio inputs as quickly as 232 milliseconds, with an average of 320 milliseconds, similar to human response times.

The model matches GPT-4 Turbo's performance on text in English and code, and is 50% cheaper in the API.

GPT-4 is particularly better at vision and audio understanding compared to existing models.

The model can accept any combination of text, audio, and images as input and generate corresponding outputs.

Practical applications include integration with devices like goggles for providing information about monuments or surroundings.

The model's ability to generate responses and images based on textual descriptions.

Support for 20 languages, including English, French, Portuguese, Gujarati, Telugu, Tamil, and Marathi.

The model's performance in text evaluation, audio performance, audio translation, and zero-shot results.

Safety and limitations of the model, including security measures that have been implemented.

The potential for the model to be integrated into a mobile app for more interactive experiences.

The model's ability to fine-tune and the options available in the OpenAI API.

Contributions from researchers and developers, including many from India, to the development of the model.

The model's multimodal capabilities and its potential impact on the market.

Upcoming updates and further demonstrations of the model's capabilities in future videos.