Datasets:
Bảo Mai Chí
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README.md
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### Model Description
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This model is designed for prompt routing to determine whether a prompt should be handled by GPT-4o or GPT-3.5. The goal is to reduce costs, as GPT-4o is significantly more expensive (10x the cost of GPT-3.5).
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Labels were manually assigned based on specific use cases. You can expand the classification to include other models such as LLaMA or GPT-4, depending on your requirements.
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- **gpt-4o:** Handles complex questions that require deep thinking and analysis, such as math problems, multiple-choice homework, and tests.
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- **gpt-3.5:** Handles simpler questions primarily for information retrieval, where answers are readily available in the documents from a Retrieval-Augmented Generation (RAG) system, as well as straightforward code and explanations.
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license: mit
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task_categories:
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- text-classification
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language:
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- vi
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- en
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tags:
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- textclassification
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- modelrouting
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- routing
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- gptrouting
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- fewshot
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size_categories:
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- n<1K
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---
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### Model Description
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This model is designed for prompt routing to determine whether a prompt should be handled by GPT-4o or GPT-3.5. The goal is to reduce costs, as GPT-4o is significantly more expensive (10x the cost of GPT-3.5).
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Labels were manually assigned based on specific use cases. You can expand the classification to include other models such as LLaMA or GPT-4, depending on your requirements.
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- **gpt-4o:** Handles complex questions that require deep thinking and analysis, such as math problems, multiple-choice homework, and tests.
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- **gpt-3.5:** Handles simpler questions primarily for information retrieval, where answers are readily available in the documents from a Retrieval-Augmented Generation (RAG) system, as well as straightforward code and explanations.
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