Synthetic approaches refer to methods used in various fields, such as chemistry and biology, to create complex compounds or systems from simpler components. These techniques often involve combining different elements or molecules to produce new substances with desired properties. For example, in organic chemistry, synthetic approaches can lead to the development of pharmaceuticals or materials. In the context of artificial intelligence, synthetic approaches can also refer to generating data or models that mimic real-world scenarios. This can include creating synthetic datasets for training algorithms or simulating environments for testing. Such methods are valuable for research and development, allowing for experimentation without the constraints of real-world limitations.