* Adapted notebook with new notebook template
* Added variable value which is used in further steps
* Added required permissions for service account
* chore, refactor: Follows new template, removes future tense, restricted links, refactors the cleaning up section
* feat: adds '-m' while deleting the cloud storage bucket
* chore: addresses the review comments
* chore: removes version mention for bison models and adds references to model versions and supported rlhf models
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Co-authored-by: nileshspringml <nilesh.mahajan@egen.ai>
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* chore: adds Colab Enterprise link
* fix, refactor, chore: Fixes the docker container image creation steps and predictions step, refactors the code to skip unnecessary steps and markdown text correction and simplification
* fix, chore: fixes typos in serving script, markdown text corrections, adds custom folder removal step in the cleanup section
* fix: adds --project for Colab steps and replaces the docker build and docker push with gcloud builds submit command for Colab
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Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* feat: Add Slack and Jira source file imports and Endpoint resource embedding model configuration for corpus creation
* docs: Link reference to deploying 3P models to endpoint
* fix: update linting
Updates objectives to eliminate nested bullets (those didn't get rendered in our docs) and removes some bolding that wasn't rendering properly in our docs
* chore: reformats the copyright and run buttons. adds colab enterprise
* chore: reorders and formats markdown sections and removes boilerplate
* chore: remove boilerplate and reformats based on template
* chore,refactor: adds colab enterprise and refactors the cells according to template
* fix: rectifies issue with testing
* chore,refactor(egen): Changed REGION variable name to LOCATION, defined two variables to get the pipelines names to be used in cleanup section, added cleanup code for deletion of pipelines and models, replaced uuid with unique,removed os.getenv(IS_TESTING) from the cleanup section, refactored code according to the template guidelines and performed linter test.
* fix(egen): changed the version of google-cloud-pipeline-components and performed linter test.
* chore(egen): changed the version of google cloud pipeline components package in installation step and performed linter test.
* fix(egen): changed the model-evaluation parameter to model-evaluation-2 in get_evaluation_metrics function and performed linter test.
* fix(egen): modified the code in get_feature_attributions helper function and performed linter test.
* fix(egen): modified code in cleanup section to delete pipeline jobs and performed linter test.
* fix(egen): renamed model-upload-2 to model-upload in cleanup code of automl tabular architecture pipeline and performed linter test.
* chore(egen): changed the colab enterprise link by renaming automml to automl in link and performed linter test.
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Co-authored-by: sriramya2610 <sriramya.peddapally@egen.ai>
* chore: adds colab enterprise, removes boilerplate and edits according to template
* chore: run end to end notebook
* chore, refactor: formats, runs end to end
* chore: lint
* chore: addresses comments and changes headers according to guidelines
* chore:review comments addressed
* chore: addresses review comments
* chore: lint run pass
* refactor, chore(egen): Removes boilerplate, heading fixes, and other corrections from template
* Updated minor template related issue
* Change variable name from REGION to LOCATION
* removed unated variable
* Made variable values more redable
* Removed unwated commentes from header
* fix, chore: replaces test sample file with eval sample file, adds comments to the cleaning up section
* fix: replaces text-bison@001 with tex-bison@002, reverts the post-tuning data sample to test sample
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Co-authored-by: Krishna Chaithanya Movva <krishna.movva@springml.com>
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* <refactor, chore> data is copied to project's own bucket for importing into the dataset, added gcfs library, other corrections from template
* <refactor, chore> data is copied to project's own bucket for importing into the dataset, added gcfs library, other corrections from template
* markdown edits
* markdown edits
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Co-authored-by: SumanthKasula99 <sumanth.kasula@egen.ai>
* Upload torch transformers predictor sample
This sample uses the aiplatform SDK and torch library to implement transformers predictor.
* Linear regression predictor using sklearn
Upload a linear regression predictor sample using scikit-learn lib.
* <refactor, chore> Updated prebuilt container image for prediction to 1.3, scikit-learn package updated to 2.5.1, other corrections from template
* <refactor> refactored notebok according to notebook template
* <refactor> refactored notebok according to notebook template
* <refactor> refactored notebok according to notebook template
* <refactor> refactored notebok according to notebook template
* <refactor> refactored notebok according to notebook template
* Colab enterprise link fix
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Co-authored-by: SumanthKasula99 <sumanth.kasula@egen.ai>
* Update build_model_experimentation_lineage_with_prebuild_code.ipynb
added colab enterprise logo and link
* Update build_model_experimentation_lineage_with_prebuild_code.ipynb
hope I fixed the JSON issue
* fix: remove new changes
* Update vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb
remove back ticks from product/feature names
* Update distillation.ipynb
update url to point to /vertex-ai/generative-ai/docs
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Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com>