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Update RFT_demo.ipynb
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src/RFT_demo.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.org/github/maciejskorski/ml_examples/blob/master/src/RFT_demo.ipynb)",
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"# Summary\n",
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"\n",
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"This experiment uses reinforcement fine-tunning (RFT) service of OpenAI to fine-tune one of their modes for emotion recognition.\n",
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"This experiment uses the reinforcement fine-tunning (RFT) service of OpenAI to fine-tune one of their modes for better emotion recognition.\n",
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"\n",
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"Emotion recognition is a subjective multilabel classification problem, on which LLMs suffer from overly sparse predictions."
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"Note: Emotion recognition is a subjective multilabel classification problem, on which LLMs suffer from overly sparse predictions."
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