Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Activeloop develops Deep Lake, a data engine that combines vector and tensor storage for AI training and retrieval workloads, with dataset versioning and GPU-native streaming to model training pipelines. It is used to store and query multimodal data including images, video, and embeddings for downstream fine-tuning and agent-grounding use cases.
Multimodal