--- pretty_name: Evaluation run of bhenrym14/airoboros-33b-gpt4-1.4.1-PI-8192-fp16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [bhenrym14/airoboros-33b-gpt4
We investigate the effects of neural network regularization techniques. First, we reason formally through the effect of dropout and training stochasticity on gradient descent. Then, we conduct classif
Flood forecasting exhibits rapid fluctuations, water level forecasting shows great uncertainty and inaccuracy in small watersheds, and the reliability and accuracy performance of traditional probabili
