Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
[X] Follow the style and grammar rules outlined in the above notebook template.
[X] Verify the notebook runs successfully in Colab since the automated tests cannot guarantee this even when it passes.
[X] Passes all the required automated checks. You can locally test for formatting and linting with these instructions.
[X] You have consulted with a tech writer to see if tech writer review is necessary. If so, the notebook has been reviewed by a tech writer, and they have approved it.
[ ] This notebook has been added to the CODEOWNERS file under the Official Notebooks section, pointing to the author or the author's team.
[ ] The Jupyter notebook cleans up any artifacts it has created (datasets, ML models, endpoints, etc) so as not to eat up unnecessary resources.
REQUIRED: Demonstrate how to get tuned embeddings using text-embedding-005 model.
--- Make text-embedding-005 the default ---
REQUIRED: Fill out the below checklists or remove if irrelevant
Official Notebooks
under the notebooks/official folder, follow this mandatory checklist:Official Notebooks
section, pointing to the author or the author's team.