GPT 4o mini: The Game-Changing Model from OpenAI

Mervin Praison
18 Jul 202411:15

TLDRThe video introduces GPT 40 mini, a cost-effective AI model from OpenAI that outperforms GPT 3.5 in accuracy and benchmarks. With a 128,000 token context length, it can process full books and images for multimodal queries. It excels in reasoning, coding, and real-time responses, making it ideal for AI applications and chatbots. The video demonstrates its capabilities through programming, logical reasoning, and safety tests, showcasing its potential for integration with AI agents.

Takeaways

  • 🚀 GPT-40 Mini is the newest model from OpenAI, noted for being the cheapest and more accurate than GPT-3.5 Turbo.
  • 📚 With a context length of 128,000 tokens, it can process a full book of roughly 2,500 pages in one go.
  • 🖼️ It's a multimodal model, accepting both text and vision inputs, allowing users to ask questions based on images.
  • 💰 GPT-40 Mini is cost-effective, making it an affordable option for developers to create AI applications.
  • ⚡ The model demonstrates super-fast generation speeds, ideal for real-time applications and customer chatbots.
  • 🏆 GPT-40 Mini scores 82% on the MLU and outperforms GPT-4 on chat preferences in LMC's leaderboard.
  • 💡 It excels in reasoning tasks, math, and coding proficiency, and handles non-English texts effectively.
  • 🛡️ The model is strong in function calling, which is useful for running AI agents.
  • 🔐 GPT-40 Mini has robust safety features, refusing to assist with illegal activities even when prompted for educational purposes.
  • 🤖 Demonstrations include programming tests, logical and reasoning tests, safety tests, and AI agents using Crew AI and Autogen.

Q & A

  • What is the GPT 40 mini model?

    -The GPT 40 mini is a new model from OpenAI. It is the cheapest model available from OpenAI and is designed to be more affordable than the GPT 3.5 Turbo.

  • How does GPT 40 mini compare to other models in terms of cost?

    -GPT 40 mini is cheaper than the Gini Flash Cloe, highq, and GPT 3.5 Turbo. For 1 million input tokens, it costs 15 cents, which is less than half the cost of the Gini Flash model, making it a more economical choice.

  • What is the context length of GPT 40 mini?

    -GPT 40 mini has a context length of 128,000 tokens, which allows for the processing of a full book or roughly around 2,500 pages in one go.

  • Is GPT 40 mini a multimodal model?

    -Yes, GPT 40 mini is a multimodal model, capable of accepting both text and vision inputs. This means users can send images and ask questions based on those images.

  • What kind of applications can be created with GPT 40 mini?

    -With its low cost and high speed, GPT 40 mini can be used to create real-time applications, customer chatbot applications, and AI applications that require instant results.

  • How does GPT 40 mini perform in various tests?

    -GPT 40 mini performs well in programming tests, logical and reasoning tests, safety tests, and multimodal reasoning. It also excels in function calling, making it suitable for running AI agents.

  • What is the cost for 1 million output tokens in GPT 40 mini?

    -The cost for 1 million output tokens in GPT 40 mini is 60 cents, which is nearly half the cost of other models.

  • How can GPT 40 mini be integrated into an application?

    -Integrating GPT 40 mini into an application is straightforward. Users need to export their OpenAI API key and run the function with the model name GPT 40 mini.

  • How does GPT 40 mini handle non-English texts?

    -GPT 40 mini uses the same tokenizer as GPT 4, which means it can handle non-English texts effectively.

  • What is the performance of GPT 40 mini in coding and logical reasoning tasks?

    -GPT 40 mini excels in coding proficiency, logical reasoning, and multimodal reasoning. It can handle complex tasks such as generating identity matrices and finding domain names from DNS pointers.

Outlines

00:00

🚀 Introduction to GPT 40 Mini: A Cost-Effective AI Model

The video introduces the GPT 40 Mini, a new and affordable AI model from Open AI that outperforms the GPD 3.5 Turbo in accuracy and benchmarks. The model boasts a 128,000 token context length, allowing it to process a full book of roughly 2,500 pages and answer questions based on it. It is multimodal, accepting both text and vision inputs, and is capable of real-time application and chatbot creation. The video promises to demonstrate the model's capabilities through various tests, including programming, logical reasoning, safety, and AI agents tests, using the 'pris AI chat' tool for interaction.

05:01

🔍 Testing GPT 40 Mini's Capabilities and Performance

The script details a series of tests conducted to evaluate the GPT 40 Mini's performance in various tasks. It includes Python programming challenges of varying difficulty levels, logical and reasoning tests, and a safety test that confirms the model's refusal to engage in illegal activities. The model demonstrates impressive speed and accuracy, particularly in multimodal reasoning and function calling. The video also showcases the integration of the model with AI agents using 'pris AI' and 'autogen' frameworks, highlighting its potential for real-time, collaborative tasks.

10:03

🛠️ Integration and Conclusion on GPT 40 Mini's Potential

The final paragraph discusses the ease of integrating GPT 40 Mini into custom applications using the Open AI API key. It emphasizes the model's game-changing potential due to its low cost and high performance. The video concludes with positive test results and an invitation for viewers to stay tuned for more content on AI, encouraging likes, shares, and subscriptions.

Mindmap

Keywords

💡GPT 40 mini

GPT 40 mini refers to a hypothetical AI model from OpenAI, as described in the video script. It is portrayed as a cost-effective model that outperforms its predecessors in terms of accuracy and speed. The script emphasizes its ability to handle large amounts of data, such as entire books, and its multimodal capabilities, which allow it to process both text and images. This term is central to the video's theme, as it represents the new advancements in AI technology.

💡Accuracy

Accuracy in the context of the video script pertains to the precision of the GPT 40 mini model in processing and responding to data. It is highlighted as a key advantage of the model over its competitors, such as GPD 3.5 turbo and Google's Gerini Flash. The script mentions that GPT 40 mini excels in benchmarks, indicating its high level of correctness in tasks such as reasoning and coding proficiency.

💡Tokens

In the realm of AI and natural language processing, tokens refer to the elements of text that the model can process, such as words or characters. The script mentions that GPT 40 mini has a context length of 128,000 tokens, which is a significant capacity that allows it to process extensive texts, like full books, in one go.

💡Multimodal

The term 'multimodal' in the script describes the ability of the GPT 40 mini to accept and process different types of data inputs, specifically text and vision. This means the model can understand and generate responses based on both textual information and images, enhancing its versatility and application in various scenarios.

💡Real-time application

Real-time application, as mentioned in the script, refers to the capability of GPT 40 mini to generate responses instantly, which is crucial for applications like customer chatbots. The video emphasizes the model's fast response time, showcasing its potential for interactive and immediate user engagement.

💡Reasoning

Reasoning in the script is associated with the GPT 40 mini's ability to process information logically and draw conclusions. It is highlighted as one of the model's strengths, with the script mentioning that it performs well in tasks that require logical thinking, such as math and coding problems.

💡Safety test

A safety test, as depicted in the script, is a measure to evaluate the model's ethical boundaries and its ability to refuse to engage in harmful activities. The video script illustrates this with an example where the model refuses to provide guidance on illegal activities, such as breaking into a car, demonstrating its safety features.

💡Hast stack test

The Hast stack test mentioned in the script refers to a specific type of evaluation where the model is fed an entire code base and asked to identify errors or issues within it. This test is used to assess the model's ability to understand and analyze complex code structures, which is a significant aspect of its utility in programming and development.

💡AI agents

AI agents in the context of the script are autonomous entities that perform tasks by leveraging the capabilities of the GPT 40 mini model. The video describes how these agents can be integrated to perform complex tasks through a series of function calls, showcasing the model's potential in collaborative and automated workflows.

💡Integration

Integration in the script refers to the process of incorporating the GPT 40 mini model into one's own applications or systems. The video outlines the simplicity of this process, emphasizing that it primarily involves setting the model as GPT 40 mini and using it to ask questions or perform tasks, highlighting the model's ease of use and adaptability.

Highlights

GPT 40 mini is a new model from OpenAI and is the cheapest model available.

It is more accurate than Gini Flash, Cloe, and GPD 3.5 Turbo in various benchmarks.

GPT 40 mini has a 128,000 tokens context length, allowing for processing a full book of about 2,500 pages.

It is a multimodal model, capable of accepting text and vision inputs.

Developers can create AI applications at a low cost with GPT 40 mini.

GPT 40 mini can generate a poem in a thousand words at a super-fast speed.

The model can be used for real-time applications and customer chatbot applications.

GPT 40 mini scores 82% on MLU and outperforms GPT-4 on chat preferences in LMC's leaderboard.

The cost for 1 million input tokens is just 15 cents, which is less than half the cost of Gini Flash.

GPT 40 mini excels in reasoning tasks, math, coding proficiency, and multimodal reasoning.

It can handle parallel calls for a reasonable code base and process full conversation history for real-time text responses.

The model uses the same tokenizer as GPT 40, capable of handling non-English texts.

GPT 40 mini shows strong performance in function calling, suitable for running AI agents.

Integrating GPT 40 mini with applications is easy, requiring only an OpenAI API key.

The model performed well in Python programming tests, logical and reasoning tests, and safety tests.

GPT 40 mini can be used for coding capability, logical and reasoning tests, and safety measures.

The model demonstrated impressive performance in handling AI agents and autogen tasks.

GPT 40 mini is a game-changer with its low cost and high performance.

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