LogoLogo
  • Welcome to Gretel!
  • Gretel Basics
    • Getting Started
      • Quickstart
      • Blueprints
      • Use Case Examples
      • Environment Setup
        • Console
        • SDK
      • Projects
      • Inputs and Outputs
      • Gretel Connectors
        • Object Storage
          • Amazon S3
          • Google Cloud Storage
          • Azure Blob
        • Database
          • MySQL
          • PostgreSQL
          • MS SQL Server
          • Oracle Database
        • Data Warehouse
          • Snowflake
          • BigQuery
          • Databricks
        • Gretel Project
    • Release Notes
      • Platform Release Notes
        • April 2025
        • March 2025
        • February 2025
        • January 2025
        • December 2024
        • November 2024
        • October 2024
        • September 2024
        • August 2024
        • July 2024
        • June 2024
      • Console Release Notes
        • January 2025
        • December 2024
        • November 2024
        • October 2024
        • September 2024
        • August 2024
      • Python SDKs
  • Create Synthetic Data
    • Gretel Safe Synthetics
      • Transform
        • Reference
        • Examples
        • Supported Entities
      • Synthetics
        • Gretel Tabular Fine-Tuning
        • Gretel Text Fine-Tuning
        • Gretel Tabular GAN
        • Benchmark Report
        • Privacy Protection
      • Evaluate
        • Synthetic Quality & Privacy Report
        • Tips to Improve Synthetic Data Quality
        • Data Privacy 101
      • SDK
    • Gretel Data Designer
      • Getting Started with Data Designer
      • Define your Data Columns
        • Column Types
        • Add Constraints to Columns
        • Custom Model Configurations
        • Upload Files as Seeds
      • Building your Dataset
        • Seeding your Dataset
        • Generating Data
      • Generate Realistic Personal Details
      • Structured Outputs
      • Code Validation
      • Data Evaluation
      • Magic Assistance
      • Using Jinja Templates
  • Gretel Playground [Legacy]
    • Getting Started
    • Prompts Tips & Best Practices
    • FAQ
    • SDK Examples
    • Tutorials
    • Videos
    • Gretel Playground [Legacy] Inference API
    • Batch Job SDK
  • Reference
    • Gretel's Python Client
    • Gretel’s Open Source Synthetic Engine
    • Gretel’s REST API
    • Homepage
    • Model Suites
Powered by GitBook
On this page
  • 2025.2.25
  • 2025.2.19
  • 2025.2.18
  • 2025.2.11
  • 2025.2.3

Was this helpful?

Export as PDF
  1. Gretel Basics
  2. Release Notes
  3. Platform Release Notes

February 2025

2025.2.25

  • Feature: Enable sampling of Person objects for seeding datasets in Data Designer, based on publically available statistics datasets including the US Census.

  • Feature: Add a Workflows Task to support splitting off a holdout set from a training Dataset.

  • Task: Update SQS from [0, 100] to [0, 10].

  • Fix: Correct an issue with the CLI polling for a model run.

  • Task: Use Multi-Modal Report to evaluate the model by default. In order to use an older version of the report for the Evaluate model, please set task.type=sqs.

2025.2.19

  • Fix: Security fixes for our Java and Python images.

2025.2.18

  • Task: Remove the use of a local docker agent for running models.

  • Task: The combined models image is always used now via an API call.

  • Task: Go applications are now built using Go version 1.23.6.

  • Fix: More informative error messages for asserting generation_prompt template expectations when adding columns in DataDesigner.

  • Task: Move the gretel agent python code out of the gretel-client

2025.2.11

  • Feature: Allow disabling cleanup of artifacts in hybrid if explicitly "disabled".

  • Feature: Allow a gender to be specified for a transform persona.

  • Fix: Fix a bug that prevented workflow level evaluate running for gretel_model outputs.

  • Task: Switch our Azure Navigator-Tabular models from using gpt3.5 --> gpt-4o-mini.

  • Task: Move the validation logic to right before we create, so project_guids can still be used.

  • Fix: Removed unnecessary prompt templates for DataDesigner that led to inconsistent data quality.

2025.2.3

  • Feature: Add support for doing PII Replay for specified columns. This can be used in conjunction with specified entity types or in place of them.

  • Task: Deprecate Classification and Regression MQS reports.

  • Fix: Ensure the bounds when sampling are taken into account for our dataset when doing an inference attack.

  • Task: Add ability to independently toggle LLM-based and regexp-base NER.

PreviousMarch 2025NextJanuary 2025

Last updated 1 month ago

Was this helpful?