All You Need To Know About Open AI GPT-4o(Omni) Model With Live Demo
TLDRJoin Krishn on his YouTube channel as he explores OpenAI's groundbreaking GPT-4o (Omni) model, a versatile tool that integrates audio, vision, and text for real-time interactions. This video offers live demos, showcasing the model's swift response times and multi-modal capabilities. Krishn highlights its potential applications, from tech integrations to aiding in accessibility, emphasizing its improved performance and efficiency. Discover how this advanced model is set to revolutionize human-computer interaction.
Takeaways
- 🚀 OpenAI has introduced a new model called GPT-4o (Omni) which can reason across audio, vision, and text in real-time.
- 🎥 The model is showcased in a live demo, interacting through voice and vision, demonstrating its capabilities.
- 📈 GPT-4o is designed to be more human-like in its interactions, accepting and generating various inputs and outputs.
- ⚡ It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, similar to human response times.
- 💻 The model matches the performance of GPT-4 Turbo on text and code in English, and is 50% cheaper in the API.
- 👁️ GPT-4o is particularly better at understanding vision and audio compared to existing models.
- 🌐 The model supports 20 languages, including a range of Indian languages, reflecting a focus on multilingual capabilities.
- 🔍 It can generate images from text descriptions, although animated image generation is not yet supported.
- 📈 The model's performance is evaluated on various aspects including text, audio, translation, zero-shot results, and safety.
- 📱 There is a hint at a future mobile app that could integrate GPT-4o's multimodal capabilities for user interaction.
- 📈 The model represents significant advancements in AI, with contributions from a diverse team including many Indian researchers.
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 and can interact with the world through these modalities.
How does the GPT 4o (Omni) model compare to previous models in terms of performance?
-The GPT 4o (Omni) model matches the performance of GP4 Turbo on text in English and code, and is 50% cheaper in the API. It is also better at vision and audio understanding compared to existing models.
What is the response time of the GPT 4o (Omni) model to audio inputs?
-The GPT 4o (Omni) model can respond to audio inputs as quickly as 232 milliseconds, with an average response time of 320 milliseconds, which is similar to human response time in a conversation.
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 kind of tasks can the GPT 4o (Omni) model perform?
-The GPT 4o (Omni) model can accept any combination of text, audio, and images as input and generate any combination of text, audio, and image output. It can be used for various tasks such as language translation, image generation, and providing information about objects or places.
How does the GPT 4o (Omni) model enhance human-computer interaction?
-The GPT 4o (Omni) model enhances human-computer interaction by providing a more natural and human-like experience. It can process multiple types of inputs and generate relevant outputs, making it more versatile and interactive.
What are some potential applications of the GPT 4o (Omni) model?
-Potential applications of the GPT 4o (Omni) model include integration with smart devices or applications for providing real-time information, language translation, content creation, and enhancing accessibility for people with disabilities.
What is the significance of the GPT 4o (Omni) model's ability to generate images?
-The ability to generate images is significant as it allows the model to create visual content based on textual descriptions, which can be useful for creating illustrations, animations, or even virtual environments.
How does the GPT 4o (Omni) model ensure model safety and limitations?
-The GPT 4o (Omni) model ensures safety and limitations through various security measures and protocols that are put in place during its development and deployment. These measures help to prevent misuse and ensure ethical use of the technology.
What are some of the evaluation metrics for the GPT 4o (Omni) model?
-Evaluation metrics for the GPT 4o (Omni) model include text evaluation, audio performance, audio translation performance, zero-shot results, and support for different language formalities.
How can one access and experiment with the GPT 4o (Omni) model?
-One can access and experiment with the GPT 4o (Omni) model through the Open AI API and the Chat GPT platform. Additionally, as updates become available, there may be opportunities to interact with the model through mobile applications or other interfaces.
Outlines
🌟 Introduction to GPT 40 - A New Milestone in AI
Krishn, the host, introduces the audience to a groundbreaking update from Open AI, the GPT 40 model, which offers enhanced capabilities for free in chat GPT. He shares his experience with the model and teases upcoming demonstrations of its features. The model's real-time reasoning across audio, vision, and text is highlighted, with a particular emphasis on its lag-free performance. The video showcases a live interaction with the model, where it accurately guesses the host's actions based on visual cues, indicative of its advanced understanding. The GPT 40, also referred to as Omni, is lauded for its ability to accept various inputs and generate corresponding outputs, with response times akin to human conversational speed. The model's cost-effectiveness and superior performance in vision and audio comprehension are also discussed, along with its potential applications in various industries.
📹 Exploring the AI's Visual and Auditory Perception
The second paragraph delves into an interactive demonstration where the AI, equipped with a camera, explores the world visually. The host engages with the AI by directing it to ask questions about the environment. The AI accurately describes the scene, including the host's attire and the room's modern industrial design. The segment emphasizes the AI's real-time capabilities and its potential to generate content based on visual input. The host also touches on the AI's ability to support multiple languages, showcasing its versatility. The paragraph concludes with a mention of model safety and limitations, suggesting that the AI has undergone rigorous testing and evaluation in various performance areas, including text, audio, and zero-shot results.
🎨 AI's Creative and Analytical Capabilities
In the final paragraph, the host attempts to generate an animated image of a dog playing with a cat using the AI's image creation feature, only to discover that the feature might not be currently available. Instead, he uploads a recent image of his own and asks the AI for feedback on how to improve it, specifically requesting not to be told to hire a graphic designer. The host also explores the AI's ability to compare with other models and to generate creative content, such as writing a tagline for an ice cream brand. The paragraph concludes with a discussion on the AI's fine-tuning options and the host's anticipation of future updates and applications, hinting at the potential for a mobile app that supports both vision and interaction with the AI.
Mindmap
Keywords
💡Open AI GPT-4
💡Real-time interaction
💡Multimodal AI
💡Human-like response time
💡Vision and audio understanding
💡Integration with products
💡Language support
💡Model safety and limitations
💡Image generation
💡Fine-tuning
💡API
Highlights
Open AI introduces GPT-4o (Omni) model, a new flagship model capable of reasoning across audio, vision, and text in real-time.
GPT-4o model is available for free in chat GPT, offering more capabilities.
The model can interact using voice and vision, showcasing live demos in the video.
GPT-4o matches GPT-4 turbo performance on text in English and code, and is 50% cheaper in the API.
GPT-4o is particularly better at vision and audio understanding compared to existing models.
The model can respond to audio inputs as quickly as 232 milliseconds, with an average of 320 milliseconds, similar to human response time.
GPT-4o can accept any combination of text, audio, and images as input and generate corresponding outputs.
The model's introduction signifies a step towards more natural human-computer interaction.
Integration of GPT-4o with products like Rayan or Lenskart can provide users with instant information about monuments or other objects of interest.
The model supports 20 languages, including English, French, Portuguese, Gujarati, Telugu, Tamil, and Marathi.
GPT-4o can generate images from text descriptions, as demonstrated in the video.
The model has been evaluated on text, audio performance, audio translation performance, and zero-shot results.
GPT-4o is expected to be available in chat GPT and through the Open AI API for further exploration and use.
The video includes a live demonstration of the model's ability to describe a scene and interact with another AI.
GPT-4o's real-time interaction capabilities are showcased through a live conversation with the AI.
The model's ability to understand and respond to multiple languages opens up possibilities for diverse applications globally.
The video provides a glimpse into the future of AI, where models like GPT-4o can significantly enhance user experiences.
The presenter anticipates the launch of a mobile app that will allow users to interact with the GPT-4o model.