In a significant effort to make artificial intelligence more accessible, OpenAI has unveiled its most affordable and smallest model to date: GPT-4o mini. This release represents a major shift and aims to expand the number of developers and applications leveraging AI technology.
According to OpenAI, GPT-4o mini will allow for “significantly expanding the range of applications built with AI by making intelligence much more affordable.” With a score of 82% on the Massive Multitask Understanding Measurement (MMLU), this model is impressing developers and outperforming GPT-41 in chat preferences on the LMSYS ranking.
The affordability of GPT-4o mini opens the doors to a new range of AI applications. Previously, this level of intelligence used to be very expensive and limited to cutting-edge models, but now it is much more accessible. At a cost of only 15 cents per million input tokens and 60 cents per million output tokens, GPT-4o mini is over 60% cheaper than GPT-3.5 Turbo and significantly more affordable than previous state-of-the-art models.
Among the capabilities of GPT-4o mini:
– Chaining or parallelizing multiple model calls, allowing for performing multiple tasks sequentially or simultaneously.
– Processing a large volume of context within the model, such as complete code bases or conversation histories, enabling more nuanced AI interactions.
– Interacting with clients through real-time text responses, ideal for customer support chatbots due to low latency.
For now, it focuses on text and vision, but future support for video and audio is planned. With a context window of 128K tokens, support for up to 16K output tokens per request, and knowledge up to October 2023, GPT-4o mini is well-equipped for a variety of tasks.
OpenAI proposes ten ways in which product developers can use GPT-4o mini to build successful AI applications:
1. Prototyping and design: Accelerate product design, from idea generation to user manual creation.
2. User feedback analysis: Extract actionable insights from large volumes of user feedback.
3. Automated documentation: Quickly generate detailed technical documents in multiple languages.
4. Error detection and troubleshooting: Aid in identifying and resolving code errors.
5. Building sophisticated AI applications: Facilitate the creation of tools like chatbots and personal assistants at a lower cost.
6. Research and experimentation: Utilize its capabilities to analyze different types of data in sectors like health and finance.
7. Chaining or parallelizing model calls: Break down large problems into smaller, manageable steps.
8. API integration: Create complex workflows that automate tasks through integration with other APIs.
9. Comprehensive analysis: Conduct detailed analyses of large datasets, such as complete code bases or conversation histories.
10. Vision and text integration: Build applications that require both text and vision inputs, such as automatic caption generation for images.
GPT-4o mini can be integrated into existing applications through Assistants, Chat Completions, and Batch APIs, and can be fine-tuned for specific applications.
For those interested in staying up to date with the latest advances in AI, the AI Acceleration Institute organizes in-person events that allow technical teams and AI executives to learn, discover new ideas, and access cutting-edge solutions.
This development promises to be a significant boost for the accessibility and affordability of artificial intelligence across various industries.
Referrer: MiMub in Spanish
