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Microsoft Research has developed Orca, an open-source project that introduces a progressive learning model based on GPT4. This model achieves impressive performance comparable to GPT 3.5 and GPT4 while using minimal storage and operating offline. By incorporating complex explanation traces, Orca enhances interpretability and addresses challenges in complex machine learning models. It outperforms other models in terms of accuracy, performance, and interpretability. The training process involves tokenization, sequencing, and loss computation. Experiments demonstrate Orca's proficiency in various tasks and domains, showcasing its capabilities in writing, comprehension, and reasoning. The research paper offers detailed insights and comparisons with GPT 3.5 and GPT-4, highlighting the potential of Orca to empower smaller models in competing with larger counterparts.