All You Need To Know About Open AI GPT-4o(Omni) Model With Live Demo
TLDRThe video introduces the new Open AI GPT-4o (Omni) model, a groundbreaking AI that can process audio, vision, and text in real-time. The host, Krishn, demonstrates its capabilities through live interactions, showcasing how it can respond to audio inputs in as little as 232 milliseconds, similar to human response times. The model is also compared to Google's Gini Pro, highlighting its enhanced performance in vision and audio understanding. The video explores various applications, such as integrating with AR glasses for on-the-spot information about monuments. The Omni model is set to revolutionize human-computer interaction by accepting and generating a combination of text, audio, and images. It also supports 20 languages and offers improved performance in text and code in English, all at a reduced API cost. The video concludes with a look at model safety and limitations, and a teaser for future mobile app integrations that will allow users to interact with the Omni model more directly.
Takeaways
- 🚀 OpenAI introduces a new model called GPT-4o (Omni) with enhanced capabilities for real-time reasoning across audio, vision, and text.
- 🎥 The model is showcased through live demos, demonstrating its interaction capabilities via voice and vision.
- 📈 GPT-4o matches the performance of GPT-4 Turbo on text and code in English, with 50% lower cost in the API.
- 👀 The model is particularly improved in vision and audio understanding compared to its predecessors.
- 🗣️ GPT-4o can respond to audio inputs with an average response time of 320 milliseconds, similar to human conversational response times.
- 🌐 The model supports 20 languages, including English, French, Portuguese, and several Indian languages, representing a step towards more natural human-computer interaction.
- 🤖 The model's ability to generate text, audio, and images from any combination of inputs opens up possibilities for various applications and products.
- 🔍 GPT-4o's integration potential is highlighted, for example, in augmented reality applications providing information about monuments when pointed at them.
- 📹 The script includes a demonstration where the AI describes a scene through a camera, showcasing its real-time visual processing capabilities.
- 📈 The model's performance is evaluated on various aspects including text, audio, translation, zero-shot results, and multi-language support.
- 📚 The video also discusses model safety and limitations, emphasizing the importance of security in AI development.
- 📱 There is a hint towards a future mobile app that could allow users to interact with the AI using both vision and audio.
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 capabilities does the GPT 4o (Omni) model have?
-The GPT 4o (Omni) model has the capability to 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 the previous models in terms of performance on text and code in English?
-The GPT 4o (Omni) model matches the performance of GP4 Turbo on text in English and code, which is significant.
What is the average response time of the GPT 4o (Omni) model to audio inputs?
-The GPT 4o (Omni) model can respond to audio inputs with an average of 320 milliseconds, which is similar to human response time in a conversation.
How does the GPT 4o (Omni) model handle vision and audio understanding compared to existing models?
-The GPT 4o (Omni) model is especially better at vision and audio understanding compared to the existing models.
What is the significance of the GPT 4o (Omni) model's ability to accept and generate various types of inputs and outputs?
-The ability to accept any combination of text, audio, and images as input and generate any combination of text, audio, and image output allows for more natural human-computer interaction and opens up possibilities for various applications.
How many languages does the GPT 4o (Omni) model support?
-The GPT 4o (Omni) model supports 20 languages, including English, French, Portuguese, and various Indian languages such as Gujarati, Telugu, Tamil, and Marathi.
What are some of the evaluation aspects of the GPT 4o (Omni) model mentioned in the script?
-The evaluation aspects of the GPT 4o (Omni) model mentioned in the script include text evaluation, audio performance, audio translation performance, zero-shot results, and model safety and limitations.
What is the significance of the live demo in the video?
-The live demo in the video is significant as it showcases the real-time capabilities of the GPT 4o (Omni) model, including its interaction through voice and vision without any editing.
How does the GPT 4o (Omni) model contribute to the field of AI?
-The GPT 4o (Omni) model contributes to the field of AI by advancing multimodal interaction, enhancing understanding of various inputs, and providing a platform for more human-like interactions between humans and computers.
What are some potential applications of the GPT 4o (Omni) model?
-Potential applications of the GPT 4o (Omni) model include integration with smart devices for information retrieval, enhancement of customer service through chatbots, and development of more interactive and immersive educational tools.
What is the future outlook for the GPT 4o (Omni) model according to the video?
-The future outlook for the GPT 4o (Omni) model includes further development, availability in chat GPT, and the potential launch of a mobile app for easier interaction with the model.
Outlines
🚀 Introduction to GPT 40: A Multimodal AI Model
The first paragraph introduces the host, Krishn, and his YouTube channel. Krishn discusses an exciting update from OpenAI, the GPT 40 model, which offers enhanced capabilities for free in chat GPT. He mentions his experience with the model and hints at live demonstrations showcasing its features. The model is described as being able to reason across audio, vision, and text in real-time, with minimal lag. The host also draws a comparison to Google's multimodal model and suggests that the GPT 40 model will enable more natural human-computer interactions, accepting various inputs and generating corresponding outputs. The response time of the model is highlighted as being similar to human conversational response times, and it is noted that the model is 50% cheaper in the API compared to its predecessor, GP4.
👁🗨 Exploring GPT 40's Real-Time Vision and Interaction
The second paragraph delves into a live demonstration of the GPT 40 model's capabilities. The host interacts with the model through a camera, allowing it to 'see' the environment and respond to questions based on visual input. The model's ability to understand and describe the scene, including the host's attire and the room's ambiance, is showcased. The paragraph also touches on the model's potential applications, such as integrating with smart glasses to provide information about surroundings. The host expresses enthusiasm about the model's performance and its implications for future product development. Additionally, the model's ability to generate images from text and its support for multiple languages, including various Indian languages, is highlighted. The paragraph concludes with a mention of model safety and limitations, suggesting that security measures have been implemented.
🎨 GPT 40's Image Generation and Language Learning Capabilities
The third paragraph focuses on the model's image generation capabilities and its application in creating animated images. The host attempts to generate an animated image of a dog playing with a cat but is unable to do so, suggesting that this feature might not be currently supported. Instead, the model provides a general description of an uploaded image, which appears to be a tutorial introduction to an AMA web UI. The host also discusses the model's ability to compare with other models like GP4 Turbo and its fine-tuning options. The paragraph concludes with a mention of the contributions made by various researchers, including many from India, to the development of the model. The host expresses optimism about the model's impact on the market and invites viewers to look out for more updates and demonstrations in future videos.
Mindmap
Keywords
💡GPT-4o (Omni)
💡Real-time interaction
💡Multimodal capabilities
💡Human-like response time
💡Vision and audio understanding
💡Integration with products
💡Language support
💡Model safety and limitations
💡Zero-shot results
💡API cost reduction
💡Image generation
Highlights
Introduction of GPT-4o (Omni), an advanced model by Open AI with enhanced capabilities.
GPT-4o is capable of reasoning across audio, vision, and text in real-time.
The model offers more capabilities for free in chat GPT.
Live demo showcasing the real-time interaction capabilities of GPT-4o.
GPT-4o's response time to audio inputs is as quick as 232 milliseconds, averaging 320 milliseconds.
The model matches GPT-4's performance on text in English and code, and is 50% cheaper in the API.
GPT-4o excels in vision and audio understanding compared to existing models.
The model's potential for integration with various products, such as augmented reality glasses, to provide real-time information.
Demonstration of GPT-4o's ability to generate images from text descriptions.
GPT-4o supports 20 languages, including Gujarati, Telugu, Tamil, Marathi, and Hindi.
The model's evaluation criteria include text, audio performance, audio translation, and zero-shot results.
Safety and limitations of the model are also discussed, emphasizing security measures.
A live interactive demo where the AI describes the environment it 'sees' through a camera.
The potential for GPT-4o to be used in professional productions and creative setups.
The model's ability to generate animated images and its limitations in real-time creation.
The AI's assistance in creating taglines and its comparison with other models like GPT-4 Turbo.
Discussion on the model's fine-tuning capabilities and the availability of the Open AI API.
The contribution of Indian researchers and developers to the model's pre- and post-training leads.
The anticipation of a mobile app that will support vision and interaction with GPT-4o.
