Hacktoberfest 2024 | Vertex AI 🤝 Workflows
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- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 320
- Avg merge
- 1d 14h
- Merged PRs (30d)
- 133
Description
Vertex AI in Workflows
Are you ready to make a difference this Hacktoberfest? We invite you to contribute by integrating Google Vertex AI into our Workflows ecosystem! This powerful addition will enable users to harness advanced image and video analysis capabilities, enriching our platform and expanding its potential.
Join us in creating a seamless integration that empowers users to unlock insights from their visual data effortlessly. Whether you're a seasoned developer or new to open source, your contributions will play a crucial role in advancing our ecosystem. Let’s work together to bring this innovative functionality to life!
Task description
- this task is open-ended - we do not have a fixed specification, apart from adoption of Vertex AI into Workflows ecosystem - we hope that open-source community will help us to figure out the best ways of adoptions
- we predict that this task may originate multiple different Workflow blocks - please share your plans and intentions to let other contributors know what you work on
- we are not sure how to solve authorization for Google Vertex AI - the inference server usually operates outside of gcloud, we would need to have secure way on injecting credentials in line with what Google proposes
Cheatsheet
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the Contributor guide, Workflows documentation, and the Creating Workflow block tutorial linked in the issue. Define a concrete Vertex AI Workflow block or blocks and an authorization approach for credentials outside gcloud, then document the intended plan before implementation; the issue does not specify a fixed completion criterion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- google-cloud, python
- Domain
- ai, computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100