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 New to Bayesian optimization? Start with [A Gentle Introduction to Bayesian Optimization](https://youtu.be/IVaWl2tL06c) and explore our [concept guides](https://honegumi.readthedocs.io/en/latest/concepts.html) and [coding tutorials](https://honegumi.readthedocs.io/en/latest/tutorials.html) on key optimization principles.
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-Real-world chemistry and materials science optimization tasks are complex! Noise, objectives, tasks, parameters, parameter types, and constraints riddle our optimization campaigns. However, applying state-of-the-art algorithms to these tasks isn't trivial, even for veteran materials informatics practitioners. Additionally, python libraries can be cumbersome to learn and use serving as a barrier to entry for interested users. To address these challenges, we present Honegumi, an interactive script generator for materials-relevant Bayesian optimization using the [Ax Platform](https://ax.dev/).
+Real-world chemistry and materials science optimization tasks are complex! Noise, objectives, tasks, parameters, parameter types, and constraints riddle our optimization campaigns. However, applying state-of-the-art algorithms to these tasks isn't trivial, even for veteran materials informatics practitioners. Additionally, Python libraries can be cumbersome to learn and use serving as a barrier to entry for interested users. To address these challenges, we present Honegumi, an interactive script generator for materials-relevant Bayesian optimization using the [Ax Platform](https://ax.dev/).
 
 **Create your optimization script using the grid below!**
  Select options from each row to generate a code template. Hover over the **ⓘ** icons to get more information and see whether it’s a good choice.