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fix: change abstract to introduction

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docs/blog/get-to-chatgpt-performance.md
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@ -21,7 +21,7 @@ authors:
email: alan@jan.ai email: alan@jan.ai
--- ---
## Abstract ## Introduction
A strong foundation model such as Mistral sets the stage for advanced open-source model capabilities. By merging math, coding and generalist models, and further enriching with a synthetic instruction dataset created from proprietary content, we achieve a **new fine-tuned model outperforms GPT-3.5** in technical documentation understanding tasks. Adopting this straightforward methodology enables everyone to custom-train models not only for enhanced technical reasoning but also for various specific domain tasks, offering a practical blueprint for open-source models development. A strong foundation model such as Mistral sets the stage for advanced open-source model capabilities. By merging math, coding and generalist models, and further enriching with a synthetic instruction dataset created from proprietary content, we achieve a **new fine-tuned model outperforms GPT-3.5** in technical documentation understanding tasks. Adopting this straightforward methodology enables everyone to custom-train models not only for enhanced technical reasoning but also for various specific domain tasks, offering a practical blueprint for open-source models development.