Загрузка данных — это процесс получения данных из разных sources и переноса их в общий repository, pipeline или processing environment. В AI workflows ingested data часто cleaned, transformed, validated и prepared перед использованием для training, fine-tuning, evaluation или retrieval.
Data ingestion is the process of extracting data from various sources and integrating it into a central location for further processing and analysis. In the context of generative AI, data ingestion involves extracting information from different data sources, such as clinical forms, patient records, or unstructured text, to train and fine-tune generative AI models. The ingested data is typically processed and transformed to ensure its quality and consistency before it is used to train the generative AI models. This process may involve data cleaning, feature engineering, and data augmentation techniques to improve the model's performance and generalization capabilities. For more information, see Use generative AI for utilization management.