In the latest updates, the Chalk team has introduced several enhancements to their platform, improving functionality and user experience. Key improvements include updates to the UI of the Features and Resolvers sections, enabling users to filter, sort, and resize columns, along with the ability to download data as a CSV report. The platform now supports queries referencing multiple feature classes and allows the definition of named queries, which streamline the process of executing predefined queries. Additionally, expressions now offer expanded functionality for data transformations, and native support for PartiQL with DynamoDB enhances query efficiency. A new tutorial demonstrates integrating Chalk with AWS SageMaker for a comprehensive model training and evaluation process. Finally, documentation updates aim to make information on time and expressions more accessible and user-friendly.