EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 20·5 min read
CI jobs artifacts should not be difficult
TL;DR
DSCI simplifies the management of job artifacts in CI pipelines by allowing easy creation and access to files in a designated directory. This approach streamlines data sharing between jobs, enhancing workflow efficiency.
✦ Why It Matters
Start using DSCI to simplify artifact management in your CI pipelines today.
Key Takeaways
- Create artifact files easily in the ~/artifacts/ directory.
- Use Python's context manager for safe file reading.
- Manage artifacts carefully to avoid unintentional deletions.
- Streamline data sharing between jobs in your CI pipeline.
How It Works
DSCI allows users to create artifact files in a specific directory, making them accessible to subsequent jobs. By simply writing to the `~/artifacts/` directory, any job can generate files that other jobs can read.
This setup acts as a buffer for data between jobs, facilitating smoother workflows.