IBM/watsonx-ai-samples
Aug 2025 – Aug 2025
1 Month active
Languages Used
CSSHTMLPython
Technical Skills
AI Model DeploymentData ScienceJupyter NotebooksMachine LearningPython
Karol Zmorski
PROFILE
Karol Zmorski
Developed an end-to-end LoRA fine-tuning demonstration for online banking queries, contributing a cloud-ready, reproducible notebook to the IBM/watsonx-ai-samples repository. The work focused on practical model customization, covering environment setup, data preparation, fine-tuning, and evaluation within a Jupyter Notebook workflow. Leveraging Python and machine learning techniques, the solution addressed enterprise onboarding needs by enabling experimentation with LoRA-based model adaptation for banking use cases. The notebook emphasized reproducibility and clear documentation, supporting production-oriented deployments. No critical bugs were reported during this period, reflecting a focus on robust, well-documented AI model deployment and data science practices for enterprise applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
86
Activity Months1
Your Network
9 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025Performance-focused month (2025-08) delivering an end-to-end LoRA fine-tuning demonstration for online banking queries. The work enhances enterprise onboarding by providing a cloud-ready, reproducible sample that showcases practical model customization, evaluation, and deployment considerations. No critical bugs were reported in this scope.
1 Commits • 1 Features
Aug 1, 2025Performance-focused month (2025-08) delivering an end-to-end LoRA fine-tuning demonstration for online banking queries. The work enhances enterprise onboarding by providing a cloud-ready, reproducible sample that showcases practical model customization, evaluation, and deployment considerations. No critical bugs were reported in this scope.
August 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
CSSHTMLPython
Technical Skills
AI Model DeploymentData ScienceJupyter NotebooksMachine LearningPython
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