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
Kacper Zmorski developed an end-to-end LoRA fine-tuning demonstration notebook for online banking queries, contributing to the IBM/watsonx-ai-samples repository. He designed the solution to be cloud-ready and reproducible, guiding users through environment setup, data preparation, fine-tuning, and model evaluation. Using Python, Jupyter Notebooks, and machine learning techniques, Kacper addressed practical challenges in customizing foundation models for enterprise onboarding scenarios. The notebook’s comprehensive documentation and production-oriented workflow enable customers to experiment with LoRA-based model adaptation in a realistic banking context. His work deepened the sample portfolio and improved reproducibility for AI model deployment in regulated industries.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
86
Activity Months1
Work 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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