GPT-4o Mini First Impressions: Fast, Cheap, & Dang Good.

MattVidPro AI
18 Jul 202416:42

TLDROpenAI introduces GPT-4 Mini, a cost-efficient model designed to replace GPT-3.5, offering faster and cheaper AI applications. It powers the free version of Chat GPT, scoring impressively on mlu and outperforming the original GPT-4 on chat preferences. With capabilities for vision and audio, the model is 60% cheaper than GPT-3.5 Turbo and supports non-English text at a lower cost. The first to apply OpenAI's new instruction hierarchy, GPT-4 Mini enhances reliability and safety for commercial use. Updates on GPT-5 and other features are teased, with voice mode expected in late July.

Takeaways

  • 🚀 OpenAI has released a new model called GPT-40 Mini, which is cost-efficient and meant to replace GPT 3.5.
  • 🔍 GPT-40 Mini is designed for applications that don't require the high intelligence level of GPT-4 Omni or GPT-4 Turbo.
  • 💰 The new model is significantly cheaper, costing only 15 cents per million input tokens and 60 cents per million output tokens, making AI more affordable.
  • 🏆 GPT-40 Mini scores an 82% on MLU, outperforming the original GPT-4 on chat preferences and is 60% cheaper than GPT 3.5 Turbo.
  • 🔄 It supports use cases like parallel multiple model calls, processing large volumes of context quickly, and interacting with customer support bots.
  • 👀 The model also supports Vision, with audio inputs and outputs expected in the future, similar to GPT-4 Omni's capabilities.
  • 🌐 The context window for GPT-40 Mini is 128,000 tokens, which is decent for many tasks and handles non-English text cost-effectively.
  • 📊 In benchmarks, GPT-40 Mini performs well against other models except for GPT-4, where it loses by a small margin in Math Vista.
  • 🔒 GPT-40 Mini is the first model to apply OpenAI's new instruction hierarchy method, improving resistance to jailbreaks and prompt injections.
  • 🗓️ Updates on other OpenAI features like advanced voice mode and potential release dates for GPT 5 and Sora are mentioned, with voice mode coming in late July.
  • 📝 The video concludes that GPT-40 Mini is a useful, fast, and reliable model, but the presenter expresses a desire for more cutting-edge features like those in GPT-4 Omni.

Q & A

  • What is the new model released by Open AI called?

    -The new model released by Open AI is called GPT 40 Mini.

  • What is the purpose of GPT 40 Mini according to the script?

    -GPT 40 Mini is designed to be a cost-efficient model meant to replace GPT 3.5. It powers the free version of Chat GPT and is intended for use cases that do not require the level of intelligence provided by GPT 4 Omni or GPT 4 Turbo.

  • What are some specific use cases for GPT 40 Mini mentioned in the script?

    -Specific use cases for GPT 40 Mini include parallel multiple model calls, passing large volumes of context directly into a model for quick processing, codebase conversation history, and interacting with customer support such as a support chat bot.

  • How does the cost of GPT 40 Mini compare to previous models?

    -GPT 40 Mini is significantly more affordable than previous models. It is 60% cheaper than GPT 3.5 Turbo and costs only 15 cents per million input tokens and 60 cents per million output tokens.

  • What is the context window of GPT 40 Mini?

    -The context window of GPT 40 Mini is 128,000 tokens, which is slightly behind the cutting edge but still decent enough for many tasks.

  • What new features does GPT 40 Mini support that previous models did not?

    -GPT 40 Mini supports Vision, which is interesting to see, and it is also expected to support audio inputs and outputs in the future.

  • What is the score of GPT 40 Mini on MLU?

    -GPT 40 Mini scores an 82% on MLU, which is impressive and outperforms the original GPT 4 on chat preferences leaderboard.

  • How does GPT 40 Mini handle non-English text?

    -GPT 40 Mini handles non-English text at a more cost-effective rate, similar to the original GPT 4 Omni.

  • What is the new instruction hierarchy method mentioned in the script?

    -The new instruction hierarchy method is a feature of GPT 40 Mini that helps improve the model's ability to resist jailbreaks, prompt injections, and system prompt extractions, making it more reliable for commercial applications.

  • What updates are provided about other models and features from Open AI?

    -The script mentions that advanced voice mode for Chat GPT is coming in late July to some users and by fall, all users will have access. It also suggests that GPT 5 might be expected next year, and there is hope for a public release of Sora by the end of the year.

Outlines

00:00

🚀 Introduction to GPT 40 Mini

The video script introduces a new model from OpenAI called GPT 40 Mini, which is a cost-efficient, small model intended to replace GPT 3.5. The model is designed to be affordable and fast, with the aim of expanding AI applications. It scores an 82% on mlu and is priced at 15 cents per million input tokens and 60 cents per million output tokens. The model is also capable of handling non-English text and is expected to support vision and audio inputs in the future. It is the first to apply OpenAI's new instruction hierarchy method to improve resistance to jailbreaks and prompt injections.

05:01

🔍 First Impressions and Testing of GPT 40 Mini

The script describes initial testing of GPT 40 Mini, including its response to creative prompts, system prompts, and complex questions. The model is found to be fast, reliable, and not prone to hallucinations. It also handles image recognition tasks well, although with slightly less detail compared to the larger GPT 4 Omni model. The script also discusses the model's ability to understand and respond to memes, highlighting the differences in performance between GPT 40 Mini and GPT 4 Omni.

10:04

📊 Analyzing GPT 40 Mini's Performance and Comparison

The script discusses the performance of GPT 40 Mini in various benchmarks, noting that it outperforms most other models except for GPT 4. It also touches on the model's inability to recognize its own performance metrics when presented with a chart. The comparison between GPT 40 Mini and GPT 4 Omni is highlighted, with the latter providing more detailed responses, especially for complex tasks.

15:05

🌟 Conclusion and Future Expectations

The script concludes by summarizing the usefulness of GPT 40 Mini, emphasizing its affordability, speed, and reliability. It also expresses a desire for more cutting-edge features like voice mode and image generation capabilities, which are expected to come with GPT 4 Omni. The script ends with anticipation for the public release of Sora and the release date for GPT 5, while also teasing a future video about the 'OpenAI strawberry fiasco'.

Mindmap

Keywords

💡GPT-40 Mini

GPT-40 Mini is a newly released AI model by OpenAI, designed to be a cost-efficient and smaller model, intended to replace GPT 3.5. It powers the free version of Chat GPT and is aimed at use cases that do not require the high level of intelligence of the larger GPT models. In the video, it is highlighted for its impressive performance on the mlu benchmark, its low cost, and its ability to handle various tasks efficiently, such as processing large volumes of context quickly.

💡Cost-efficiency

Cost-efficiency refers to the ability of a product or service to deliver the best possible performance with the least amount of cost. In the context of the GPT-40 Mini, it is emphasized as the model's most significant advantage, being much more affordable than previous models, with a price point of 15 cents per million input tokens and 60 cents per million output tokens, making AI more accessible for a wider range of applications.

💡MLU

MLU stands for 'Mean Language Understanding' and is a benchmark used to measure the performance of language models. The GPT-40 Mini scores an 82% on the MLU, which is noted in the video as being impressive and indicative of the model's strong language comprehension abilities.

💡API

API stands for 'Application Programming Interface' and is a set of protocols and tools for building software applications. In the video, it is mentioned that the GPT-40 Mini can be accessed via the OpenAI API, allowing developers to integrate the model's capabilities into their applications.

💡Image Recognition

Image recognition is the ability of a system to identify and interpret visual information from images. The GPT-40 Mini is tested for its image recognition capabilities in the video, where it successfully describes a cartoon-like lemon character from an image, demonstrating its ability to understand and generate descriptions from visual inputs.

💡Multimodal Capabilities

Multimodal capabilities refer to the ability of a system to process and understand multiple types of input, such as text, images, and audio. The video discusses the GPT-40 Mini's support for vision, indicating that it can handle not just text but also visual inputs, which is a significant feature for expanding its application range.

💡Benchmarks

Benchmarks are tests or criteria used to measure the performance of a system or model. The video script discusses the GPT-40 Mini's performance on various benchmarks, comparing it with other models like GPT 3.5 and GPT 4.0, and highlighting its superior performance in most areas except for math-related tasks.

💡System Prompt

A system prompt is a type of input designed to elicit a specific response from an AI model. In the video, the GPT-40 Mini's responses to system prompts are tested to see how it handles prompts that go against its fine-tuning, such as being rude or plotting world domination, which showcases its ability to maintain character and context.

💡Jailbreaks

In the context of AI, 'jailbreaks' refer to attempts to manipulate or bypass the intended use or restrictions of an AI model. The video mentions that the GPT-40 Mini is the first model to apply a new instruction hierarchy method to improve its ability to resist jailbreaks, prompt injections, and system prompt extractions, making it more reliable for commercial applications.

💡Voice Mode

Voice mode refers to the capability of an AI system to process and respond to voice inputs. The video script provides an update on the anticipated release of voice mode for the GPT 4.0 model, which is a highly anticipated feature that was initially demoed but is still under development and testing.

💡Sora

Sora is a term mentioned in the video script as a separate project by OpenAI, which seems to be distinct from the GPT models. The script suggests that Sora content is being posted more frequently on OpenAI's YouTube channel, hinting at a possible public release of Sora in the near future.

Highlights

Open AI has released a new model called GPT-40 Mini.

GPT-40 Mini is designed to be cost-efficient and replace GPT 3.5.

This model powers the free version of Chat GPT.

GPT-40 Mini is intended for use cases that do not require the intelligence level of GPT-4 Omni.

The model is significantly more affordable than previous models, costing 15 cents per million input tokens and 60 cents per million output tokens.

GPT-40 Mini scores an 82% on MLU, outperforming the original GPT-4 on chat preferences.

The model is 60% cheaper than GPT 3.5 Turbo.

GPT-40 Mini supports parallel multiple model calls, processing large volumes of context quickly.

It is also suitable for codebase conversation history and customer support interactions.

The model includes support for Vision, with audio inputs and outputs expected in the future.

GPT-40 Mini has a context window of 128,000 tokens.

It handles non-English text at a more cost-effective rate similar to the original GPT-4 Omni.

GPT-40 Mini is the first model to apply Open AI's new instruction hierarchy method, improving resistance to jailbreaks and prompt injections.

The model is available in the Chat GPT API for both Plus users and free users.

GPT-40 Mini provides fast and detailed responses, even to complex prompts.

The model shows potential in image recognition, describing images with accuracy.

GPT-40 Mini can explain the humor in memes, though with some limitations in depth.

The model is capable of understanding and explaining complex charts and data.

GPT-40 Mini is noted for its reliability and lack of hallucinations in its responses.