Gretel Synthetics, in conjunction with Google Colaboratory's free GPUs, offers a streamlined approach to training machine learning models for generating fake, anonymized data with differential privacy guarantees. The latest version, 0.6.0, of the gretel_synthetics open-source synthetic data library introduces features such as Google SentencePiece support for unsupervised tokenization with adjustable vocabulary size and character coverage, and smart_open support for loading datasets from major cloud platforms like AWS, GCP, and Azure. Users can directly launch into Colaboratory to begin creating synthetic datasets. For further insights into anonymizing precise location data, the post references a detailed exploration of scooter ride-share data privacy issues and collaboration with Uber to address these concerns.