Finetuning (Section 3 in Fig. ) is a form of transfer learning , where knowledge gained from pre-training on a large general dataset is adapted for a specific task. The model is trained on a curated dataset containing examples of desired inputs and outputs. When applied to teaching the model generating ORCA inputs, this dataset should consist of ORCA input files (Y , the desired outputs) and their corresponding NL descriptions (X, the inputs).