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Reviewing model evaluation results using W&B Reports
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Classroom Contents
End-to-End LLM Fine-Tuning with Weights and Biases Models - From Experimentation to Production
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- 1 Introduction to W&B Models
- 2 Reviewing CI/CD for machine learning
- 3 Introduction to W&B Registry
- 4 Description of the LLM fine-tuning use case
- 5 Experiment tracking with W&B Models
- 6 Viewing results in a W&B project
- 7 Publishing a model to W&B Registry
- 8 Using W&B Automations to kick-off CI/CD workflows
- 9 Model evaluation using W&B Automations and GitHub Actions
- 10 Reviewing model evaluation results using W&B Reports
- 11 Model deployment into production and conclusion
