Open AI New GPT-4o Powerful Demo That Can Change The Learn Experience

In this video, Krishak introduces the new GPT-4 model by Open AI, which is capable of processing audio, vision, and text in real-time. The model's potential to revolutionize learning experiences is demonstrated through a demo where it tutors a student on a math problem from Khan Academy. The interaction is designed to guide the student to understand the problem rather than providing direct answers. The video highlights the model's ability to identify and explain concepts, which could be beneficial for various subjects and technical learning. Krishak also discusses the previous limitations of GPT models and how GPT-4's end-to-end training across different modalities represents a significant advancement. The video concludes with an invitation for viewers to share their excitement about the model's capabilities and potential applications.

Takeaways

• 🚀 OpenAI has introduced a new model called GPT-4o that works with audio, vision, and text in real-time, which can significantly enhance the learning experience.
• 📚 The GPT-4o model was demonstrated with a math tutoring scenario using Khan Academy, where it guided a student to solve a problem without giving direct answers.
• 🎓 The model's teaching approach is interactive and encourages understanding rather than just providing solutions, which is beneficial for a deeper learning process.
• 🔍 Before GPT-4o, real-time voice interaction was not possible due to latency issues in previous models like GPT-3.5.
• 🧠 GPT-4o uses a single, unified neural network that processes text, vision, and audio, which is a significant advancement from previous models that used separate pipelines.
• 📈 GPT-4o is the first model to combine multiple modalities, and its capabilities are still being explored, indicating the potential for future improvements.
• 🌐 The model has been evaluated on various performance metrics including text, audio, and vision understanding, showing promising results.
• 🗣️ GPT-4o's real-time capabilities allow for more natural and efficient interactions, which can be applied to a wide range of subjects and technical areas.
• 📉 The model has shown lower error rates in audio translation performance compared to other models like Whisper, which is a significant improvement.
• 📈 The model's ability to understand and process multiple languages and tokenization showcases its versatility and potential for global use.
• 🔧 There are still limitations to the model, but the demonstration indicates the potential for GPT-4o to be a powerful tool for education and beyond.
• 🌟 The presenter is excited about the potential of GPT-4o and is eagerly waiting for the API to become available for wider use.

Q & A

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

The new model introduced by Open AI is called GPT 4.

How does GPT 4 differ from previous models in terms of functionality?

GPT 4 works with audio, vision, and text in real-time, unlike previous models which had latency issues and were not capable of processing all inputs and outputs through the same neural network.

What is the significance of GPT 4's ability to work in real-time?

The real-time capability of GPT 4 allows for more interactive and dynamic learning experiences, as well as the potential for use in various applications such as interviews and job training.

How does the GPT 4 model assist in the learning process as demonstrated in the Khan Academy demo?

In the Khan Academy demo, GPT 4 tutors a student through a math problem by asking questions and guiding him in the right direction, ensuring the student understands the concept rather than just providing the answer.

What are the components of the voice mode pipeline in GPT 4?

The voice mode pipeline in GPT 4 consists of three separate models: one that transcribes audio to text, GPT 3.5 or GPT 4 that takes input and outputs text, and a third model that converts the text back to audio.

What was the latency issue in GPT 3.5?

The latency issue in GPT 3.5 was that it took an average of 5.4 seconds to process voice commands, which made real-time interaction challenging.

How does GPT 4's end-to-end training across text, vision, and audio improve its functionality?

By training a single new model end-to-end across text, vision, and audio, GPT 4 processes all inputs and outputs through the same neural network, allowing it to better understand context, multiple speakers, and background noises.

What are some potential applications of GPT 4 beyond the learning experience demonstrated in the video?

Potential applications of GPT 4 include use in interviews, job training, revision tools, and various other areas where real-time interaction and understanding of complex subjects are beneficial.

How is GPT 4 evaluated for performance?

GPT 4 is evaluated on various performance metrics including text evaluation, audio ASR (Automatic Speech Recognition) performance in different languages, audio translation performance, and vision understanding.

What limitations does the GPT 4 model currently have?

While the specific limitations are not detailed in the script, it is mentioned that GPT 4 is a new model and that its creators are still exploring its capabilities and limitations.

How does the creator of the video perceive the GPT 4 demo?

The creator of the video perceives the GPT 4 demo as the most powerful and exciting demo they have seen, with the potential to significantly change learning experiences and various other applications.

Outlines

00:00

📚 Introduction to GPT-4 and its Impact on Learning

The first paragraph introduces the speaker, Krishak, and his YouTube channel. Krishak discusses the announcement from OpenAI about a new model, GPT-4, which works with audio, vision, and text in real-time. He mentions the impressive demo by Google Gemini Pro, which, although not in real-time, showcased the potential of such technology. Krishak emphasizes that the specific demo he will present is expected to revolutionize the learning experience. He encourages viewers to watch the entire video to understand the demo's significance. The paragraph concludes with an introduction to the Khan Academy demo, where the AI assists in tutoring a student in math without providing direct answers, aiming to foster understanding.

05:01

🚀 The Power of GPT-4 in Education and Beyond

The second paragraph delves into the potential of GPT-4 beyond the simple math problem demonstrated. Krishak imagines the model's utility in a broader educational context, suggesting its use for revision, interviews, and job applications. He expresses excitement about the model's teaching approach and its ability to guide users comprehensively. Krishak then provides a historical perspective, comparing the latency in voice mode across different versions of GPT models, highlighting the real-time capability of GPT-4. He explains the technical architecture of GPT-4, which combines text, vision, and audio processing into a single neural network, and acknowledges that the model's full potential is yet to be explored. The paragraph ends with a discussion about model evaluation, including performance metrics and language capabilities, and invites viewers to share their excitement in the comments section.

Keywords

GPT-4

GPT-4 refers to the fourth generation of the Generative Pre-trained Transformer, a type of artificial intelligence model developed by OpenAI. It is designed to work with audio, vision, and text in real-time, which is a significant advancement from its predecessors. In the video, GPT-4 is showcased through a demo that illustrates its potential to revolutionize the learning experience by providing interactive and personalized tutoring in subjects like mathematics.

Real-time

Real-time, in the context of the video, refers to the ability of the GPT-4 model to process and respond to information instantaneously, without significant delay. This is a crucial feature for applications like online tutoring, where immediate feedback is essential for effective learning. The video demonstrates how GPT-4 can interact with a student in real-time, providing guidance and asking questions to help the student understand mathematical concepts.

Learning Experience

The learning experience is the process through which an individual acquires new knowledge, skills, or understanding. In the video, the learning experience is highlighted as being significantly enhanced by the use of GPT-4. The model's ability to understand and respond to a student's level of understanding can tailor the teaching approach to the individual, making the learning process more effective and personalized.

Khan Academy

Khan Academy is a well-known online learning platform that offers free educational resources in various subjects. In the video, Khan Academy is used as a context to demonstrate how GPT-4 can assist in tutoring a student in math. The platform's reputation for providing accessible and high-quality education makes it a fitting example to illustrate the potential of GPT-4 in enhancing educational experiences.

Tutoring

Tutoring is a form of personalized instruction where an educator works closely with a student to help them understand and master specific subjects or concepts. In the video, GPT-4 is shown to act as a tutor, guiding a student through a math problem by asking questions and providing hints. This demonstrates the model's potential to offer personalized educational support, similar to a human tutor.

Right Triangle

A right triangle is a type of triangle that has one angle measuring 90 degrees. In the video, the concept of a right triangle is central to the math problem being solved. The GPT-4 model helps the student identify the hypotenuse and other sides of the triangle, which is essential for applying trigonometric functions and solving the problem.

Hypotenuse

The hypotenuse is the longest side of a right triangle, which is opposite the right angle. In the video, identifying the hypotenuse is a key step in solving the math problem. The GPT-4 model assists the student in recognizing the hypotenuse and using it to find the sine of an angle in the triangle.

Sine

Sine is a trigonometric function that, in the context of a right triangle, represents the ratio of the length of the side opposite an angle to the length of the hypotenuse. In the video, the GPT-4 model helps the student apply the sine formula to find the measure of angle Alpha, demonstrating the model's ability to assist with mathematical calculations.

Neural Network

A neural network is a type of machine learning model inspired by the human brain, consisting of interconnected nodes or neurons that process information. GPT-4 is powered by a neural network that processes inputs across multiple modalities, such as text, vision, and audio. The video emphasizes the model's end-to-end training across these modalities, which allows it to understand and generate responses in a more integrated and sophisticated manner.

Model Evaluation

Model evaluation is the process of assessing the performance and accuracy of a machine learning model. In the video, GPT-4's capabilities are evaluated through various metrics, including text evaluation, audio ASR (Automatic Speech Recognition) performance, and vision understanding. The model's performance is compared to other models like Whisper to demonstrate its effectiveness and potential in real-world applications.

API

API stands for Application Programming Interface, which is a set of protocols and tools for building software applications. In the context of the video, the speaker is looking forward to the release of an API for GPT-4, which would allow developers to integrate its capabilities into their own applications. The anticipation surrounding the API highlights the potential for widespread adoption and innovation using GPT-4's technology.

Highlights

Open AI has introduced a new model called GPT-4o that works with audio, vision, and text in real-time.

GPT-4o can significantly change the learning experience by providing interactive and personalized tutoring.

The model has been demonstrated with a math problem on Khan Academy, showing its ability to guide students without giving direct answers.

GPT-4o identifies sides of a triangle relative to an angle and helps the student understand the concept rather than just providing the solution.

The model's teaching approach is interactive, asking questions and encouraging students to think and deduce the answers themselves.

GPT-4o's real-time capabilities are a significant improvement over previous models, which had higher latency.

GPT-4o combines text, vision, and audio processing in a single neural network, unlike previous models that used separate models for each modality.

The model is designed to understand and respond to multiple speakers, background noises, and can express emotions.

GPT-4o is evaluated on various performance metrics including text, audio, translation, and vision understanding.

The model has the potential to be used for a wide range of applications, from revision and interviews to job applications.

GPT-4o's ability to provide guidance and understanding across various subjects is seen as a game-changer in education and learning.

The model's creators are still exploring its capabilities and limitations, indicating that there's more potential to unlock.

GPT-4o's end-to-end training across different modalities represents a new frontier in AI technology.

The model's performance is compared favorably against other models like Google's Whisper in terms of error rates and translation capabilities.

GPT-4o's language tokenization capabilities are extensive, supporting multiple languages and dialects.

The demo showcases the potential of GPT-4o to revolutionize how students learn and understand complex subjects.

The presenter expresses excitement for the upcoming API release, suggesting that GPT-4o will be available for broader use.

The video concludes with an invitation for viewers to share their excitement and thoughts on the demo in the comments section.