OpenAI GPT-4o | First Impressions and Some Testing + API

All About AI
13 May 202413:12

TLDRThe video provides a first impression and testing of OpenAI's GPT-40 model, which offers real-time reasoning across audio, vision, and text. The host is particularly excited about the model's low latency, averaging 320 milliseconds, and the 50% reduction in API cost. The script demonstrates GPT-40's image analysis capabilities and compares its performance with GPT-4 Turbo in terms of speed and accuracy. The host also discusses the potential impact of making GPT-40 available to all free users and plans to conduct further tests and share more insights in a follow-up video on Wednesday.

Takeaways

  • 🚀 OpenAI has released a new flagship model, GPT-40, which can reason across audio, vision, and text in real time.
  • 🎉 The GPT-40 model is particularly noted for its low latency, averaging at 320 milliseconds, similar to human response times.
  • 📉 There's a 50% reduction in API cost for using GPT-40, making it more affordable for developers and users.
  • 👀 GPT-40 shows significant improvements in understanding vision and audio compared to previous models.
  • 📈 The model is reportedly two times faster and has a context limit of 128k tokens, suitable for most use cases.
  • 🎧 GPT-40 has the capability for voice input and output, including real-time emotion adjustments in the voice.
  • 📷 The image functionality of GPT-40 was tested with a script that analyzed and described images, showcasing its visual understanding.
  • 📱 Mention of a desktop app from OpenAI that could be used while working on code or other tasks, indicating a potential for integrated AI assistance.
  • 📊 GPT-40 performed well in evaluations, showing strong results in various tests, including logical and mathematical problems.
  • 🆓 OpenAI plans to make GPT-40 available to all free users, which is a significant move in terms of accessibility and democratization of AI technology.
  • ⏱️ A live demonstration compared the latency and speed of GPT-40 with GPT-4 Turbo, showing GPT-40 to be over five times faster in processing tokens per second.

Q & A

  • What is the main focus of the OpenAI Spring update?

    -The main focus of the OpenAI Spring update is the release of their GPT-40 models, which are capable of reasoning across audio, vision, and text in real time.

  • What aspect of the new GPT-40 models did the speaker find most interesting?

    -The speaker found the low latency of the GPT-40 models most interesting, as it is similar to a human response time in conversation, averaging at 320 milliseconds.

  • How does the speaker feel about the audio part of Chat GPT?

    -The speaker is a big fan of the audio part of Chat GPT and uses it a lot to learn new things.

  • What is the significance of the 50% cheaper API cost for GPT-40?

    -The 50% cheaper API cost for GPT-40 makes it more accessible and affordable for developers and users, allowing for greater adoption and utilization of the technology.

  • What feature of GPT-40 is not yet available for testing?

    -The audio input and output feature of GPT-40 is not yet available for testing, as it was not included in the initial release.

  • What is the token context limit for GPT-40?

    -The token context limit for GPT-40 is 128k tokens, which is considered sufficient for most use cases.

  • How did the speaker react to the live stream demonstration of voice input and output?

    -The speaker found the live stream demonstration of voice input and output, including real-time emotion changes, to be pretty interesting and is looking forward to testing it out later.

  • What is the speaker's opinion on the latency of GPT-40?

    -The speaker was impressed by the low latency of GPT-40, noting that it was much faster than GPT-4 and could potentially be a game-changer for real-time applications.

  • What is the speaker's plan for the desktop app from OpenAI?

    -The speaker plans to have the OpenAI desktop app running in the background while working on code or other tasks, allowing for easy interaction and assistance from the AI.

  • How does the speaker feel about the free version of GPT-40?

    -The speaker believes that making GPT-40 available to all free users is a big deal and could significantly impact the accessibility and adoption of advanced AI technology.

  • What is the speaker's next step regarding GPT-40?

    -The speaker plans to follow up with a video on GPT-40 on Wednesday after having more time to explore and understand its capabilities and features.

Outlines

00:00

📈 Introduction to GPT-40 and its Capabilities

The speaker expresses excitement about the new GPT-40 model introduced by OpenAI in their spring update. The model can reason across audio, vision, and text in real time. The speaker is particularly interested in the low latency of 320 milliseconds, which is comparable to human response time. They also mention the 50% reduction in API cost for GPT-40 and its improved performance in vision and audio understanding. The speaker plans to test the image analysis functionality of GPT-40 by feeding in some images and analyzing them.

05:03

🖼️ Testing GPT-40's Image Analysis Capabilities

The speaker demonstrates testing GPT-40's image analysis capabilities by feeding in images from their previous videos. They use the image analyzer from GPT-40 to analyze the images and generate a structured explanation for each one. The speaker is impressed with the speed and accuracy of the image analysis. They also compare the performance of GPT-40 with GPT-4 Turbo and find that GPT-40 is over 5 times faster in terms of tokens per second. The speaker concludes that GPT-40 performed well in analyzing the images, even though it had not seen the content before.

10:06

🧐 Logical Tests and Comparison with GPT-4 Turbo

The speaker conducts some logical tests to compare the performance of GPT-40 with GPT-4 Turbo. They present a physics problem about a marble in a cup and find that GPT-40 incorrectly concludes that the marble is now on the floor of the microwave, while GPT-4 Turbo provides the correct answer. In another test, the speaker asks both models to write sentences ending with the word "apples". GPT-40 gets 9 out of 10 sentences correct, while GPT-4 Turbo gets all 10 correct. The speaker concludes that it is too early to evaluate the performance of GPT-40 comprehensively but finds the logical testing to be a fun exercise. They plan to follow up with a more in-depth video on GPT-40 in the future.

Mindmap

Keywords

💡OpenAI GPT-4

OpenAI GPT-4 refers to the latest generation of language models developed by OpenAI, an artificial intelligence research laboratory. The GPT-4 model is designed to be more advanced than its predecessors, with enhanced capabilities in reasoning and understanding across multiple modalities such as audio, vision, and text. In the video, the host expresses excitement about the model's potential for more natural human-computer interaction and its ability to process information in real-time.

💡Low Latency

Low latency in the context of this video refers to the short delay or response time between the user's input and the system's output. The host highlights the importance of low latency, comparing it to human response times in conversation. This feature is crucial for real-time applications and user experience, as it allows for more immediate and seamless interactions with AI systems.

💡API Cost

API cost refers to the expenses associated with using an application programming interface (API) to access a particular service or functionality. In the video, the host mentions that the API cost for GPT-4 has been reduced by 50%, making it more affordable for developers and users to integrate and use the advanced features of the GPT-4 model.

💡Vision and Audio Understanding

Vision and audio understanding are the capabilities of an AI model to process and comprehend information from visual and auditory inputs. The video discusses how GPT-4 is particularly improved in these areas compared to previous models, which is significant for applications that require a multimodal approach to data processing.

💡Image Analysis

Image analysis is the process of examining and interpreting visual data to extract meaningful information. The host demonstrates the use of GPT-4 for image analysis by feeding in images and receiving descriptive and analytical responses from the model. This showcases the model's ability to understand and provide insights based on visual content.

💡Token Context

Token context refers to the number of tokens an AI model can process and understand within a single input. The script mentions that GPT-4 has a context of 128k tokens, which is an improvement over previous models and allows for more comprehensive and nuanced understanding of text inputs.

💡Voice Input and Output

Voice input and output are features that allow an AI system to receive commands and provide responses through spoken language. The video mentions the potential for real-time voice interaction with GPT-4, highlighting advancements in emotion recognition and tone adjustment, which contribute to more expressive and human-like communication.

💡Latency in Calculations

Latency in calculations refers to the time it takes for an AI model to perform and return the results of a computation. The host compares the latency of GPT-4 with that of GPT-4 Turbo, noting a significant reduction in time, which is beneficial for quick and efficient processing of information.

💡Logical Testing

Logical testing involves evaluating an AI model's ability to solve problems or make logical deductions based on provided information. The video includes a test where the host asks GPT-4 to solve a physics-related puzzle and to generate sentences ending with a specific word, assessing the model's logical reasoning and language generation capabilities.

💡Free Users

Free users are individuals who can access and use a service or product without incurring costs. The video discusses the potential availability of GPT-4 to free users, which would be a significant development in making advanced AI technology more widely accessible and democratizing its use.

💡Desktop App

A desktop app refers to a software program designed to be used on a personal computer, as opposed to a web-based application. The host mentions the possibility of having a desktop app from OpenAI running in the background, allowing users to interact with AI through voice commands while working on other tasks, enhancing convenience and multitasking capabilities.

Highlights

OpenAI has released a new flagship model, GPT-4o, capable of reasoning across audio, vision, and text in real time.

The new model is particularly exciting for its low latency, averaging at 320 milliseconds, similar to human response times.

GPT-4o is expected to offer a more natural human-computer interaction experience.

API costs for GPT-4o are 50% cheaper, making it more accessible for developers.

The model demonstrates improved performance in vision and audio understanding compared to previous models.

A script was written to test the image functionality of GPT-4o, showcasing its ability to analyze and respond to images.

GPT-4o is said to be twice as fast with a 128k token context, suitable for most use cases.

During a live stream, GPT-4o showcased real-time voice input and output, including emotion adjustments.

The model's ability to analyze images and provide structured explanations was tested with a series of slides.

GPT-4o provided a comprehensive analysis of the image content, demonstrating its advanced capabilities.

The model correctly performed mathematical calculations on an image of a triangle, verifying the Pythagorean theorem and calculating the area.

GPT-4o showed significantly lower latency compared to GPT-4 Turbo, with a speed of 110 tokens per second.

A logical test involving a marble problem was conducted, with GPT-4o providing a correct solution.

GPT-4o was challenged with a creative writing task, successfully generating sentences ending with the word 'apples'.

The video creator expresses excitement about the potential of GPT-4o and plans for further testing and evaluation.

GPT-4o is set to be made available to all free users, which is a significant development in AI accessibility.

The video includes a discussion about the implications of free access to GPT-4o and the differences between free and paid versions.

The creator plans to follow up with more practical use cases and a deeper analysis of GPT-4o in an upcoming video.

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