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

Krish Naik
13 May 202408:45

TLDRIn this YouTube video, Krishak introduces the new GPT-4 model by Open AI, which is designed to work with audio, vision, and text in real-time. The video showcases a demo where GPT-4 assists in tutoring a student on a math problem from Khan Academy. The model asks guiding questions to help the student understand the concept rather than providing direct answers. Krishak emphasizes the potential of GPT-4 to revolutionize learning experiences across various subjects and technical fields. He also discusses the previous limitations of GPT models and how GPT-4, with its single neural network processing all inputs and outputs, overcomes these issues. The video concludes with Krishak expressing excitement for the model's future applications and inviting viewers to share their thoughts in the comments.

Takeaways

  • 📢 The new GPT-4 model from Open AI is designed to work with audio, vision, and text in real-time, which is a significant advancement in AI technology.
  • 🎓 The GPT-4 model has the potential to revolutionize the learning experience by providing personalized tutoring, as demonstrated in the Khan Academy math problem scenario.
  • 👨‍👦 The demo involved a father and son using GPT-4 for math tutoring, where the AI helped the son understand the problem without giving direct answers, promoting self-discovery.
  • 📈 GPT-4's ability to process inputs and outputs through the same neural network allows it to better understand context, including multiple speakers, background noises, and emotional cues.
  • 🚀 Prior to GPT-4, real-time voice interaction was not feasible due to the latency caused by separate models handling different aspects of the interaction.
  • 🔍 GPT-4 combines text, vision, and audio modalities in a single model, which is a new frontier in AI and offers untapped potential for various applications.
  • 🌟 The model's teaching approach in the demo was highly praised for its effectiveness and the positive impact it could have on a wide range of subjects and technical learning.
  • ⏱️ GPT-4 represents a significant reduction in latency compared to previous models, enabling more seamless and real-time interactions.
  • 🌐 The model has been evaluated on various performance metrics including text, audio, translation, and vision understanding, showing promising results.
  • 📉 Compared to other models like Whisper, GPT-4 has shown lower error rates in audio translation performance.
  • 📝 The video script emphasizes the excitement around the potential applications of GPT-4 in education, interviews, job applications, and more.
  • 🔥 The presenter considers the GPT-4 demo to be the most powerful and amazing demonstration they have seen from any AI model to date.

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 the GPT 4 model'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 more effective communication, as it can respond immediately to user inputs.

  • How does the GPT 4 model enhance the learning experience 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 to the solution, rather than providing the answer directly, which promotes a deeper understanding of the subject matter.

  • What was the latency issue in GPT 3.5?

    -The latency issue in GPT 3.5 was that it had a delay of 5.4 seconds when using voice mode to talk to chat GPT, which made real-time interaction difficult.

  • How has GPT 4 improved upon the limitations of GPT 3.5?

    -GPT 4 has improved by training a single, new model end-to-end across text, vision, and audio, which means all inputs and outputs are processed by the same neural network, reducing latency and improving the ability to understand context.

  • What are some potential applications of GPT 4 in education?

    -GPT 4 can be used for tutoring in various subjects, providing revision help, assisting in interview preparation, and offering guidance for job applications.

  • How does GPT 4 handle multiple speakers or background noises?

    -The script does not provide specific details on how GPT 4 handles multiple speakers or background noises, but it implies that the model has an improved ability to process and understand such contexts due to its integrated approach to processing different modalities.

  • What is the role of the third model in the voice mode pipeline of GPT 4?

    -The third model in the voice mode pipeline of GPT 4 is responsible for converting text back into audio, completing the process of real-time communication.

  • How does GPT 4 compare to other models in terms of error rate and performance?

    -GPT 4 has a lower error rate compared to Whisper, another model, and it performs well in audio translation and vision understanding evaluations, showing promising results when compared to other models like Google's.

  • What are some of the limitations of the GPT 4 model?

    -While the script does not explicitly list the limitations of GPT 4, it suggests that as the first model to combine text, vision, and audio modalities, there is still much to explore regarding its capabilities and potential limitations.

  • What is the potential impact of GPT 4 on future learning and educational tools?

    -The potential impact of GPT 4 on future learning and educational tools is significant, as it can provide personalized, real-time tutoring and guidance across various subjects, potentially revolutionizing the way knowledge and skills are acquired.

Outlines

00:00

🌟 Introduction to GPT-4 and its Impact on Learning

Krishak introduces the audience to GPT-4, a new model by OpenAI that operates in real-time with audio, vision, and text. He mentions the model's potential to revolutionize learning experiences, referencing a demo involving Khan Academy. The video is a tutorial on a math problem, where the AI guides a student named Imran through understanding the problem rather than providing direct answers. Krishak emphasizes the importance of watching the video to the end to grasp the demo's significance and how it could change the learning mindset.

05:01

🚀 GPT-4's Real-Time Capabilities and Future Applications

The second paragraph discusses the real-time capabilities of GPT-4 and its potential applications. Krishak imagines the model's utility on a larger scale for various subjects and technical knowledge. He praises the model's teaching approach and sees it as a tool for revision, interviews, and job applications. Krishak also compares GPT-4's performance to previous models, highlighting improvements in latency and the integration of a single neural network for processing all inputs and outputs. He mentions model evaluation across different metrics and expresses excitement for the API's release, inviting viewers to share their thoughts in the comments.

Mindmap

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 as a powerful tool that can transform the learning experience by providing interactive tutoring in subjects like mathematics.

💡Real-time

Real-time, in the context of the video, refers to the ability of GPT-4 to process and respond to inputs instantaneously, without any significant delay. This is a crucial feature for applications like tutoring, where immediate feedback is necessary for effective learning. The video emphasizes the real-time capabilities of GPT-4 as a game-changer in interactive learning.

💡Learning Experience

The learning experience is the process through which individuals acquire knowledge or skills. In the video, the term is used to highlight how GPT-4 can enhance this process by providing personalized tutoring and guidance. The improved learning experience is demonstrated through a math problem-solving scenario, where GPT-4 helps a student understand the concept rather than just providing the answer.

💡Khan Academy

Khan Academy is a well-known online learning platform that offers free educational resources. In the video, it is used as a context to demonstrate the application of GPT-4's tutoring capabilities. The script mentions using GPT-4 to tutor someone in math on Khan Academy, showcasing how AI can be integrated into existing educational platforms to enhance learning.

💡Hypotenuse

The hypotenuse is the longest side of a right-angled triangle, which is opposite the right angle. In the video, identifying the hypotenuse is part of a math problem-solving exercise that GPT-4 guides the student through. This example illustrates how GPT-4 can assist in understanding geometric concepts by asking questions and providing hints.

💡Sine of an angle

The sine of an angle is a trigonometric function that relates the ratio of the length of the side opposite the angle to the length of the hypotenuse in a right-angled triangle. In the video, GPT-4 helps the student apply the sine formula to find the angle's measure, demonstrating the model's ability to teach mathematical concepts and procedures.

💡Voice Mode

Voice mode refers to the capability of GPT-4 to interact through voice commands and responses. The video discusses the latency improvements in GPT-4's voice mode, which allows for more natural and real-time conversations. This feature is important for creating a more engaging and interactive learning environment.

💡Latency

Latency in the context of the video refers to the delay between the input (such as a voice command) and the output (the AI's response). GPT-4's reduced latency in voice mode is highlighted as a significant improvement over previous models, enabling more fluid and real-time interactions which are essential for effective tutoring.

💡Neural Network

A neural network is a type of machine learning model inspired by the human brain. GPT-4 uses a neural network that processes inputs and outputs across text, vision, and audio. The video explains that this unified approach allows GPT-4 to better understand context and provide more accurate and nuanced responses, which is a key factor in enhancing the learning experience.

💡Model Evaluation

Model evaluation is the process of assessing the performance of an AI model. The video discusses how GPT-4 is evaluated on various metrics such as text evaluation, audio ASR (Automatic Speech Recognition) performance, and vision understanding. These evaluations help to ensure that GPT-4 can effectively perform its intended functions and provide a high-quality learning experience.

💡API

API stands for Application Programming Interface, which is a set of rules and protocols that allows different software applications to communicate with each other. In the video, the presenter expresses anticipation for the release of GPT-4's API, which would allow developers to integrate its capabilities into various applications and platforms, potentially revolutionizing the field of education.

Highlights

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

GPT 4's real-time capabilities are a significant advancement from previous models like GPT 3.5, which had a latency of 5.4 seconds.

The GPT 4 model has been demonstrated with a learning experience that could revolutionize education.

The demo involves a math tutoring scenario using Khan Academy, showcasing the model's ability to guide students to understand concepts rather than providing direct answers.

GPT 4 identifies sides of a triangle relative to an angle, demonstrating its capability to understand and teach geometric concepts.

The model correctly applies the sine formula to find the angle in a right triangle, showing its ability to perform mathematical operations.

GPT 4's teaching approach is interactive and designed to ensure the student understands the material themselves.

The model's potential applications extend beyond math to various subjects and technical fields, offering a new dimension in learning and revision.

GPT 4 can be used for interviews and job preparation, providing comprehensive guidance in multiple areas.

The model's evaluation includes text, audio, and vision understanding, showcasing its multimodal capabilities.

GPT 4 has a lower error rate compared to other models like Whisper, indicating its superior performance in audio translation.

The model combines text, vision, and audio processing in a single neural network, marking a significant step in AI development.

GPT 4's creation involved training a single new model end-to-end, which is a novel approach in AI modeling.

The model's limitations and capabilities are still being explored, indicating that its potential is vast and not yet fully understood.

GPT 4's real-time voice mode is a result of a pipeline of three separate models working in unison to transcribe, process, and convert audio to text and back.

The model's ability to understand and respond to multiple speakers and background noises represents a leap in AI's interaction capabilities.

GPT 4's introduction is expected to be a game-changer in the field of AI, with wide-ranging implications for various industries and applications.

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

The video concludes with an invitation for viewers to share their thoughts on the demo and their anticipation for GPT 4's future developments.

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