DataBytes-Organisation/Fine-Tuning-LLMs-for-Enterprise-Applications
Apr 2025 – Apr 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
BERTScoreBLEUData AnalysisDeep LearningEvaluate LibraryFile Deletion
Final
PROFILE
Final
Daniel Gan developed a comprehensive LLM evaluation and benchmarking framework for the DataBytes-Organisation/Fine-Tuning-LLMs-for-Enterprise-Applications repository, targeting enterprise compliance prompts and reporting needs. He designed and implemented a suite of evaluation metrics, including ROUGE, BLEU, edit distance, and BERTScore, using Python and Hugging Face Transformers within Jupyter Notebooks. His work enabled repeatable fine-tuning and benchmarking workflows, supporting measurable business outcomes. Daniel also addressed repository maintenance by deprecating outdated model assets and cleaning up legacy submodules, reducing technical debt. Additionally, he established structured progress tracking to facilitate future automation and planning, demonstrating depth in both engineering and project organization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
13,914
Activity Months1
Your Network
5 peopleShared Repositories
5
Work History
April 2025
4 Commits • 3 Features
Apr 1, 2025April 2025: Implemented a comprehensive LLM evaluation and benchmarking framework for the DataBytes-Organisation/Fine-Tuning-LLMs-for-Enterprise-Applications repository, focused on enterprise compliance prompts and reporting. Delivered a metrics suite (perplexity, ROUGE, BLEU, edit distance, BERTScore) and provided notebooks for fine-tuning and benchmarking, enabling repeatable evaluation and faster iteration with measurable business value. Executed targeted repository maintenance to reduce technical debt by deprecating outdated assets and cleanup of deprecated model assets. Established a Week 1–5 progress tracking placeholder to support structured weekly planning and future automation.
4 Commits • 3 Features
Apr 1, 2025April 2025: Implemented a comprehensive LLM evaluation and benchmarking framework for the DataBytes-Organisation/Fine-Tuning-LLMs-for-Enterprise-Applications repository, focused on enterprise compliance prompts and reporting. Delivered a metrics suite (perplexity, ROUGE, BLEU, edit distance, BERTScore) and provided notebooks for fine-tuning and benchmarking, enabling repeatable evaluation and faster iteration with measurable business value. Executed targeted repository maintenance to reduce technical debt by deprecating outdated assets and cleanup of deprecated model assets. Established a Week 1–5 progress tracking placeholder to support structured weekly planning and future automation.
April 2025
Activity
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Quality Metrics
Correctness65.0%
Maintainability65.0%
Architecture65.0%
Performance55.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
BERTScoreBLEUData AnalysisDeep LearningEvaluate LibraryFile DeletionHugging Face TransformersJupyter NotebookLLM EvaluationLLM Fine-tuningLevenshtein DistanceMachine LearningMatplotlibNatural Language ProcessingPandas
Repositories Contributed To
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