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README.md
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- Fintuned with **SFT**
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- Aligned with **DPO**
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- Additionaly **trained with a small function calling dataset**
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- **Using a novel training technique** - we partially freeze the model according to a laser-like analysis (Official Paper soon). It allows to evaluate the no free lunch theorem and supports better decision making when optimizing
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- Optimized with **LaserRMT**
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# Table of Contents
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- Fintuned with **SFT**
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- Aligned with **DPO**
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- Additionaly **trained with a small function calling dataset**
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- **Using a novel training technique** - we partially freeze the model according to a laser-like analysis (Official Paper soon). It allows to evaluate the no free lunch theorem and supports better decision making when optimizing the theorem - created by the [LaserRMT research group](https://github.com/cognitivecomputations/laserRMT)
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- Optimized with **LaserRMT**
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# Table of Contents
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