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@@ -27,7 +27,7 @@ Without their independent research collaboration this model release would not ha
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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 it - 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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  - 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