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@faaranm faaranm released this 19 Aug 17:58
· 6 commits to main since this release
v0.3.0
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Release Notes - Data Flywheel Blueprint v0.3.0

What's New in v0.3.0

We're excited to announce the release of Data Flywheel Blueprint v0.3.0! This release brings significant improvements to deployment, DFW workflows, and data processing capabilities. Here's what's new:

New Features

Deployment & Infrastructure

  • Helm Chart Support: Full Helm chart support for Kubernetes deployments, making it easier to deploy and manage Data Flywheel Blueprint in production environments
  • NMP 25.08 Support: Updated to support the latest NMP (NeMo Microservice Platform) 25.08

Machine Learning & Experimentation

  • MLflow Integration in DFW Orchestrator: Seamless MLflow integration directly within the Data Flywheel orchestrator for comprehensive experiment tracking, model versioning, and performance monitoring
  • Balanced Train Test Split: Enhanced data splitting algorithms that ensure balanced and representative training and testing datasets for more reliable model evaluation

In-Context Learning (ICL) Improvements

  • Semantic Similarity Sampling: Advanced sampling using embedding models to select the most semantically similar examples for in-context learning scenarios
  • Uniform Distribution Tool Call Sampling: Improved algorithms that ensure uniform distribution of tool calls for more balanced and representative example selection

Documentation

Comprehensive documentation is available for all new features:

  • Helm chart deployment guide
  • MLflow integration tutorials
  • ICL improvement examples
  • NMP 25.08 compatibility guide

Bug Fixes & Stability

This release includes bug fixes and stability improvements, along with enhanced error handling and recovery mechanisms.

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