Yoda Response: Certainly, Avi. One of my projects involved predicting cryptocurrency prices using machine learning algorithms. Initially, I experimented with several models, including Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks. 

After evaluating the performance of these models, I decided to use Gated Recurrent Units (GRUs) over LSTMs. The primary reason for this choice was that GRUs provided similar accuracy but were computationally more efficient, which was crucial given the large dataset and the need for faster training times. By comparing the models based on their accuracy and computational efficiency, I was able to make an informed decision that best suited the project's requirements. This experience taught me the importance of evaluating multiple algorithms to find the most suitable one for a given problem.