GPT-4o mini Model
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A GPT-4o mini Model is a small MLM instruct-model developed by OpenAI as a part of the GPT-4o family, announced on 2024-07-18.
- Context:
- It can (typically) be cheaper and faster than GPT-3.5 Turbo.
- It can perform Text Processing and Vision Tasks efficiently.
- It can handle up to 128K Tokens in its Context Window.
- It can generate up to 16K Output Tokens per request.
- It can support applications that chain or parallelize multiple Model Calls.
- It can be used in Customer Support Chatbots due to its fast, real-time text responses.
- It has built-in Safety Measures to filter out inappropriate content and ensure reliable responses.
- It has a broad range of Multilingual Support and real-time Translation Capabilities.
- It has superior performance in Textual Intelligence and Multimodal Reasoning compared to other small models.
- ...
- Example(s):
- Counter-Example(s):
- See: OpenAI LLM Model, Foundation Neural Model, Cost-Efficient AI Model, 3rd-Party LLM Inference Cost Measure.
References
2024
- OpenAI. (2024). "GPT-4o mini: Advancing Cost-Efficient Intelligence."
- QUOTE: "GPT-4o mini introduces significant advancements in cost-efficiency, making AI more accessible for a wider range of applications."
- NOTE: GPT-4o mini is a multimodal AI model capable of text and vision processing, offering superior performance in textual intelligence and multimodal reasoning compared to other small models. It has a context window of 128K tokens and supports up to 16K output tokens per request. It includes built-in safety features and extensive external testing to ensure reliability and safety.