Small but Mighty: OpenAI Unveils GPT-4o Mini
GPT-4o goes mini!
At a Glance
OpenAI has announced GPT-4o Mini, a smaller, more efficient version of its new AI model, GPT-4o. This new iteration is designed to provide the advanced capabilities of GPT-4o while being more cost-effective and accessible for developers building applications with it.
Deeper Learning
Efficiency and Cost-Effectiveness: GPT-4o Mini enables a wide range of tasks due to its low cost and latency, such as chaining multiple model calls, processing large volumes of context, and providing fast real-time responses for customer support. Currently, it supports text and vision in the API, with future plans to include image, video, and audio inputs and outputs. The model features a context window of 128K tokens, supports up to 16K output tokens per request, and has knowledge up to October 2023.
It is priced at 15 cents per million input tokens and 60 cents per million output tokens, an order of magnitude more affordable than previous frontier models and more than 60% cheaper than GPT-3.5 Turbo (per OpenAI).
Powering ChatGPT: GPT-4o Mini will now replace GPT-3.5 Turbo for Free, Plus and Team users. By leveraging this smaller model, OpenAI states ChatGPT can provide faster, more responsive interactions while maintaining the high-quality conversational capabilities that users expect and enabling powerful AI for all.
Applications and Impact: GPT-4o Mini opens up new possibilities for integrating advanced AI into a wider array of applications. From customer service bots to educational tools, this model’s efficiency makes it suitable for various uses where larger models might be impractical due to cost or resource limitations.
Key Benchmarks: GPT-4o Mini outperforms GPT-3.5 Turbo and other small models in academic benchmarks for both textual intelligence and multimodal reasoning. It supports the same languages as GPT-4o and excels in function calling and long-context performance:
Reasoning Tasks: Scores 82.0% on MMLU, outperforming Gemini Flash (77.9%) and Claude Haiku (73.8%).
Math and Coding Proficiency: Scores 87.0% on MGSM (math reasoning) and 87.2% on HumanEval (coding), surpassing Gemini Flash (75.5% and 71.5%) and Claude Haiku (71.7% and 75.9%).
Multimodal Reasoning: Scores 59.4% on MMMU, better than Gemini Flash (56.1%) and Claude Haiku (50.2%).
Future Implications: OpenAI's GPT-4o Mini represents significant progress in making AI technology more accessible, scalable, sustainable. As AI continues to evolve, models like GPT-4o Mini highlight the potential for delivering powerful AI capabilities in a more resource-efficient manner.
So What?
The launch of OpenAI’s GPT-4o Mini is a huge step in accessible AI technology. By offering a smaller, cost-effective version of their most advanced AI model, OpenAI is further democratizing access to powerful AI tools, enabling a wider range of applications and users to benefit from AI advancements. This move not only enhances the capabilities of applications like ChatGPT but also empowers practitioners to take on more application development with OpenAI's models. Given this new trend with "small language models," it was only a matter of time before the leaders in AI caught on.
References
Full post from OpenAI: https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/
https://techcrunch.com/2024/07/18/openai-unveils-gpt-4o-mini-a-small-ai-model-powering-chatgpt/
https://www.cnet.com/tech/services-and-software/openai-now-has-a-gpt-4o-mini-heres-why-that-matters/
Image from: https://www.reddit.com/r/singularity/comments/1e6d4p5/openai_debuts_mini_version_of_its_most_powerful/
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Small but Mighty: OpenAI Unveils GPT-4o Mini
GPT-4o goes mini!
At a Glance
OpenAI has announced GPT-4o Mini, a smaller, more efficient version of its new AI model, GPT-4o. This new iteration is designed to provide the advanced capabilities of GPT-4o while being more cost-effective and accessible for developers building applications with it.
Deeper Learning
Efficiency and Cost-Effectiveness: GPT-4o Mini enables a wide range of tasks due to its low cost and latency, such as chaining multiple model calls, processing large volumes of context, and providing fast real-time responses for customer support. Currently, it supports text and vision in the API, with future plans to include image, video, and audio inputs and outputs. The model features a context window of 128K tokens, supports up to 16K output tokens per request, and has knowledge up to October 2023.
It is priced at 15 cents per million input tokens and 60 cents per million output tokens, an order of magnitude more affordable than previous frontier models and more than 60% cheaper than GPT-3.5 Turbo (per OpenAI).
Powering ChatGPT: GPT-4o Mini will now replace GPT-3.5 Turbo for Free, Plus and Team users. By leveraging this smaller model, OpenAI states ChatGPT can provide faster, more responsive interactions while maintaining the high-quality conversational capabilities that users expect and enabling powerful AI for all.
Applications and Impact: GPT-4o Mini opens up new possibilities for integrating advanced AI into a wider array of applications. From customer service bots to educational tools, this model’s efficiency makes it suitable for various uses where larger models might be impractical due to cost or resource limitations.
Key Benchmarks: GPT-4o Mini outperforms GPT-3.5 Turbo and other small models in academic benchmarks for both textual intelligence and multimodal reasoning. It supports the same languages as GPT-4o and excels in function calling and long-context performance:
Reasoning Tasks: Scores 82.0% on MMLU, outperforming Gemini Flash (77.9%) and Claude Haiku (73.8%).
Math and Coding Proficiency: Scores 87.0% on MGSM (math reasoning) and 87.2% on HumanEval (coding), surpassing Gemini Flash (75.5% and 71.5%) and Claude Haiku (71.7% and 75.9%).
Multimodal Reasoning: Scores 59.4% on MMMU, better than Gemini Flash (56.1%) and Claude Haiku (50.2%).
Future Implications: OpenAI's GPT-4o Mini represents significant progress in making AI technology more accessible, scalable, sustainable. As AI continues to evolve, models like GPT-4o Mini highlight the potential for delivering powerful AI capabilities in a more resource-efficient manner.
So What?
The launch of OpenAI’s GPT-4o Mini is a huge step in accessible AI technology. By offering a smaller, cost-effective version of their most advanced AI model, OpenAI is further democratizing access to powerful AI tools, enabling a wider range of applications and users to benefit from AI advancements. This move not only enhances the capabilities of applications like ChatGPT but also empowers practitioners to take on more application development with OpenAI's models. Given this new trend with "small language models," it was only a matter of time before the leaders in AI caught on.
References
Full post from OpenAI: https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/
https://techcrunch.com/2024/07/18/openai-unveils-gpt-4o-mini-a-small-ai-model-powering-chatgpt/
https://www.cnet.com/tech/services-and-software/openai-now-has-a-gpt-4o-mini-heres-why-that-matters/
Image from: https://www.reddit.com/r/singularity/comments/1e6d4p5/openai_debuts_mini_version_of_its_most_powerful/
Share this post!
Small but Mighty: OpenAI Unveils GPT-4o Mini
GPT-4o goes mini!
At a Glance
OpenAI has announced GPT-4o Mini, a smaller, more efficient version of its new AI model, GPT-4o. This new iteration is designed to provide the advanced capabilities of GPT-4o while being more cost-effective and accessible for developers building applications with it.
Deeper Learning
Efficiency and Cost-Effectiveness: GPT-4o Mini enables a wide range of tasks due to its low cost and latency, such as chaining multiple model calls, processing large volumes of context, and providing fast real-time responses for customer support. Currently, it supports text and vision in the API, with future plans to include image, video, and audio inputs and outputs. The model features a context window of 128K tokens, supports up to 16K output tokens per request, and has knowledge up to October 2023.
It is priced at 15 cents per million input tokens and 60 cents per million output tokens, an order of magnitude more affordable than previous frontier models and more than 60% cheaper than GPT-3.5 Turbo (per OpenAI).
Powering ChatGPT: GPT-4o Mini will now replace GPT-3.5 Turbo for Free, Plus and Team users. By leveraging this smaller model, OpenAI states ChatGPT can provide faster, more responsive interactions while maintaining the high-quality conversational capabilities that users expect and enabling powerful AI for all.
Applications and Impact: GPT-4o Mini opens up new possibilities for integrating advanced AI into a wider array of applications. From customer service bots to educational tools, this model’s efficiency makes it suitable for various uses where larger models might be impractical due to cost or resource limitations.
Key Benchmarks: GPT-4o Mini outperforms GPT-3.5 Turbo and other small models in academic benchmarks for both textual intelligence and multimodal reasoning. It supports the same languages as GPT-4o and excels in function calling and long-context performance:
Reasoning Tasks: Scores 82.0% on MMLU, outperforming Gemini Flash (77.9%) and Claude Haiku (73.8%).
Math and Coding Proficiency: Scores 87.0% on MGSM (math reasoning) and 87.2% on HumanEval (coding), surpassing Gemini Flash (75.5% and 71.5%) and Claude Haiku (71.7% and 75.9%).
Multimodal Reasoning: Scores 59.4% on MMMU, better than Gemini Flash (56.1%) and Claude Haiku (50.2%).
Future Implications: OpenAI's GPT-4o Mini represents significant progress in making AI technology more accessible, scalable, sustainable. As AI continues to evolve, models like GPT-4o Mini highlight the potential for delivering powerful AI capabilities in a more resource-efficient manner.
So What?
The launch of OpenAI’s GPT-4o Mini is a huge step in accessible AI technology. By offering a smaller, cost-effective version of their most advanced AI model, OpenAI is further democratizing access to powerful AI tools, enabling a wider range of applications and users to benefit from AI advancements. This move not only enhances the capabilities of applications like ChatGPT but also empowers practitioners to take on more application development with OpenAI's models. Given this new trend with "small language models," it was only a matter of time before the leaders in AI caught on.
References
Full post from OpenAI: https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/
https://techcrunch.com/2024/07/18/openai-unveils-gpt-4o-mini-a-small-ai-model-powering-chatgpt/
https://www.cnet.com/tech/services-and-software/openai-now-has-a-gpt-4o-mini-heres-why-that-matters/
Image from: https://www.reddit.com/r/singularity/comments/1e6d4p5/openai_debuts_mini_version_of_its_most_powerful/
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