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v0.0.3

@glatosinski glatosinski tagged this 17 Mar 09:44
* Introduced improvements when passing IO and model data between Optimizer and Runtime blocks
* Improved Renode profiler parsing
* Introduced SparseGPT, GPTQ and SparseGPT+GPTQ optimizers for LLMs
* Added ModelWrappers for Phi-2 and Mistral 7B models
* Added example summarization dataset
* Introduced support for LLEXT module building for Kenning Zephyr Runtime
* Introduced anomaly detection dataset handler for CSV files (on example of CATS dataset)
* Introduced VAE model
* Introduced Platform class for holding data necessary for Optimizers and HW-aware optimizations
* Introduced AutoML class for running automatic model architecture search
* Introduced AutoPyTorch-based AutoML implementation
* Added support for YAML-based scenarios
* Added numerous other improvements
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