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

MattVidPro AI
18 Jul 202416:42

TLDRThe video discusses the release of GPT-40 Mini, a cost-efficient model by Open AI, intended to replace GPT 3.5. It offers fast responses and is 60% cheaper than previous models, scoring impressively on benchmarks and supporting multimodal capabilities like Vision. The model is also the first to apply a new instruction hierarchy method for enhanced safety.

Takeaways

  • 😀 OpenAI has released a new model called GPT-4 Mini, which is cost-efficient and meant to replace GPT-3.5.
  • 🚀 GPT-4 Mini is designed to be very fast and affordable, aiming to expand AI applications by making intelligence more accessible.
  • 💡 This model powers the free version of Chat GPT and is suitable for use cases that don't require the intelligence level of GPT-4 Omni or GPT-4 Turbo.
  • 🌟 GPT-4 Mini has scored an 82% on MLU, outperforming the original GPT-4 on chat preferences and is significantly cheaper than previous models.
  • 💬 The model is capable of handling non-English text more cost-effectively and supports Vision, with audio inputs and outputs planned for the future.
  • 🔒 GPT-4 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 GPT-5 are mentioned, with voice mode expected to roll out in late July and a broader release by fall.
  • 🔮 There is speculation about the potential public release of Sora by the end of the year, based on increasing content from OpenAI.
  • 📊 GPT-4 Mini shows strong performance in benchmarks, except for Math Vista, where it falls slightly behind but outperforms other models like GPT-3.5 Turbo.
  • 📈 The model's context window is 128,000 tokens, which is decent for many tasks, and it handles multimodal capabilities, including image recognition.
  • 🤖 In first impression tests, GPT-4 Mini demonstrates quick responses, creativity, and reliability, even with complex prompts and image analysis.

Q & A

  • What is the name of the new model released by Open AI?

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

  • What is the purpose of GPT 40 Mini in comparison to other models?

    -GPT 40 Mini is designed to be a cost-efficient small model, meant to replace GPT 3.5 and power the free version of Chat GPT. It is not meant to compete with higher-level models like GPT 4 Omni or GPT 4 Turbo but aims to be very cheap and very fast, making AI applications more affordable.

  • What is the cost of using GPT 40 Mini per million input tokens and output tokens?

    -GPT 40 Mini is priced at 15 cents per million input tokens and 60 cents per million output tokens.

  • What specific use cases does Open AI highlight for GPT 40 Mini?

    -Open AI highlights use cases such as parallel multiple model calls, passing large volumes of context into a model for quick processing, codebase conversation history, and interacting with customer support, essentially for a support chat bot. It also supports Vision, and audio inputs and outputs are planned for the future.

  • What is the context window size for GPT 40 Mini?

    -The context window for GPT 40 Mini is 128,000 tokens.

  • 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 new instruction method does GPT 40 Mini apply that improves its reliability?

    -GPT 40 Mini is the first model to apply Open AI's new instruction hierarchy method, which helps improve the model's ability to resist jailbreaks, prompt injections, and system prompt extractions.

  • What update did Open AI provide regarding the advanced voice mode for GPT 4 Omni?

    -Open AI is taking additional time to reach their bar for a launch and will begin the alpha with a small group of plus users in late July. By the fall, all users are expected to have access to the advanced voice mode.

  • When might we expect the release of GPT 5?

    -Based on the information provided, it is predicted that GPT 5 might be released sometime next year, possibly around March.

  • What is the significance of the image recognition test performed in the script?

    -The image recognition test is significant as it demonstrates GPT 40 Mini's ability to understand and describe images, showcasing its multimodal capabilities and its potential use in applications that require image processing.

Outlines

00:00

🚀 Introduction to GPT 40 Mini: Open AI's New Cost-Efficient Model

The script introduces GPT 40 Mini, a new model released by Open AI, which is designed to be more cost-efficient than its predecessors. It aims to replace GPT 3.5 and powers the free version of Chat GPT. The model is praised for its affordability, scoring an 82% on mlu, and being 60% cheaper than previous models. It is capable of handling large volumes of context quickly and supports Vision, with audio inputs and outputs in the pipeline. The script also hints at updates on other anticipated features from Open AI.

05:01

🔍 First Impressions and Testing of GPT 40 Mini

The script proceeds with first impressions and testing of GPT 40 Mini, demonstrating its quick response times and creative capabilities. It is tested with prompts that require novel connections and system prompts emulating an 'evil AI'. The model shows reliability in its responses, even when subjected to prompts that go against its fine-tuning. It also handles complex questions about physics and is noted for its potential in being less censored than other models.

10:04

🖼️ Exploring GPT 40 Mini's Multimodal Capabilities with Image Recognition

The script explores GPT 40 Mini's ability to process images, starting with a test to describe a channel logo, which the model does successfully without hallucinations. It also evaluates the model's understanding of a meme, where it provides a correct but not entirely deep interpretation. A comparison with GPT 4 Omni shows that while GPT 40 Mini performs well, the larger model offers more detailed and nuanced responses.

15:05

📊 GPT 40 Mini's Self-Evaluation and Comparison with Other Models

The final part of the script involves the model's self-evaluation and its comparison with other AI models. Despite not recognizing its own representation in a chart, GPT 40 Mini provides insights into its performance relative to other models. The script concludes by acknowledging the model's utility, speed, and reliability, while expressing a desire for more cutting-edge features from Open AI, such as voice mode and image generation capabilities.

Mindmap

Keywords

💡GPT-4 Mini

GPT-4 Mini is a newly released AI model by OpenAI, designed to be cost-efficient and small-scale, intended to replace GPT-3.5. It is the model that powers the free version of Chat GPT. The script discusses its affordability and speed, emphasizing its role in expanding AI applications by making AI more accessible. For instance, the script mentions its use in 'parallel multiple model calls' and 'processing large volumes of context quickly'.

💡MLU Score

The MLU (Mean Language Understanding) score is a metric used to measure the performance of language models on a standardized test. In the context of the video, GPT-4 Mini scores an 82% on MLU, which is highlighted as impressive and indicative of its language comprehension abilities. The script uses this score to compare the model's performance with other models in the stack.

💡Cost-Efficiency

Cost-efficiency refers to the balance between the cost of a product or service and the benefits it provides. The script emphasizes GPT-4 Mini's cost-efficiency, noting that it is significantly cheaper than previous models, with a price of '15 cents per million input tokens and 60 cents per million output tokens'. This affordability is positioned as a key factor in making AI more widely usable.

💡Input Tokens

In the context of AI language models, input tokens are the units of text that the model processes as input. The script mentions the cost of processing these tokens with GPT-4 Mini, which is a critical factor for users considering the economic aspects of using the model for various applications.

💡Output Tokens

Output tokens are the text generated by the AI model as a response to the input. Similar to input tokens, the script discusses the cost associated with generating output tokens, which is another economic consideration for potential users of the GPT-4 Mini model.

💡Vision Support

Vision support refers to the model's ability to process and understand visual inputs, such as images. The script notes that GPT-4 Mini supports vision, indicating that it can interpret and generate responses based on visual data, which is an important feature for multimodal applications.

💡Audio Inputs and Outputs

This refers to the model's capability to handle audio data, both in terms of receiving audio as input and generating audio as output. The script mentions that audio inputs and outputs are upcoming features for GPT-4 Mini, expanding its applicability to auditory applications.

💡Instruction Hierarchy Method

The instruction hierarchy method is a new approach applied by GPT-4 Mini to improve its resistance to jailbreaks, prompt injections, and system prompt extractions. The script points out that this method enhances the model's reliability and safety for commercial applications, ensuring more consistent and secure responses.

💡Jailbreaks

In the context of AI, jailbreaking refers to the act of bypassing the model's limitations or restrictions to access its full capabilities or to make it behave in unintended ways. The script discusses GPT-4 Mini's resistance to jailbreaks as a result of the instruction hierarchy method, which is important for maintaining control over the model's behavior in commercial settings.

💡Prompt Injections

Prompt injections are techniques used to manipulate an AI model's responses by injecting specific prompts or commands into the input. The script mentions that GPT-4 Mini is designed to resist such injections, which is part of its improved safety measures to prevent misuse.

💡System Prompt Extractions

System prompt extractions refer to the act of extracting or revealing the model's internal prompts or instructions. The script notes that GPT-4 Mini is the first model to apply the instruction hierarchy method to prevent such extractions, enhancing its security and reliability.

Highlights

OpenAI has released a new model called GPT-40 Mini.

GPT-40 Mini is a cost-efficient model designed to replace GPT 3.5.

It is intended for use cases that do not require the intelligence level of GPT-4 Omni or GPT-4 Turbo.

GPT-40 Mini aims to make AI more affordable and expand the range of applications.

The model scores an 82% on MLU and outperforms the original GPT-4 on chat preferences.

GPT-40 Mini is priced at 15 cents per million input tokens and 60 cents per million output tokens.

It is 60% cheaper than GPT 3.5 Turbo and significantly more affordable than previous models.

The model is suitable for parallel multiple model calls and processing large volumes of context quickly.

GPT-40 Mini also supports Vision, with audio inputs and outputs expected in the future.

The model's context window is 128,000 tokens, which is decent for many tasks.

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 OpenAI's new instruction hierarchy method to improve resistance to jailbreaks and prompt injections.

Updates on other OpenAI features like advanced voice mode and potential release timelines are mentioned.

GPT-40 Mini's image recognition capabilities are tested and found to be impressive, with no visible hallucinations.

The model's response to a creative prompt about a pineapple and a laptop is detailed and imaginative.

GPT-40 Mini's system prompt responses are reliable and do not exhibit censorship.

The model's evaluation score chart is analyzed, demonstrating its performance in various benchmarks.

GPT-40 Mini's comparison to other models is discussed, highlighting its strengths and limitations.

The video concludes with the presenter's overall positive impression of GPT-40 Mini's utility and cost-effectiveness.

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