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frankmst/README.md

Hi, I'm Sascha Frank 👋

IT Engineer @ University of Freiburg
Independent AI Research

I work on trustworthy local AI systems with a focus on Retrieval-Augmented Generation (RAG), fine-tuning small language models, and objective evaluation of LLMs. My work combines research, software engineering, and open-source development.


🔬 Research Interests

  • Retrieval-Augmented Generation (RAG)
  • Fine-Tuning Small Language Models (SLMs)
  • Local AI Systems
  • Information Retrieval
  • LLM Evaluation
  • XML Transformation with LLMs
  • Open Source AI

🚀 Current Projects

  • TSFT-RAG — Task-Specific Full Fine-Tuning for Retrieval-Augmented Generation
  • Local RAG Systems for Research and Education
  • LLM-based XML Transformation
  • AI in Higher Education
  • Fine-Tuning and Evaluation Pipelines

🤗 Models

My fine-tuned language models are available on Hugging Face:

👉 https://huggingface.co/sascha-frank-ai-research


🌐 Links


📊 Research Focus

  • Open-source language models
  • Reproducible AI research
  • Efficient fine-tuning
  • Knowledge-intensive AI
  • Retrieval-Augmented Generation
  • Local deployment of LLMs

Building practical and trustworthy AI systems for research, education, and real-world applications.

Popular repositories Loading

  1. rag-memory-bot rag-memory-bot Public

    Local RAG system with persistent memory, exact replay, hybrid search and human-in-the-loop learning via web interface.

    Python

  2. rag-task-specific-full-finetuning rag-task-specific-full-finetuning Public

    Training and evaluation pipeline for task-specific full fine-tuning of open-weight language models for RAG.

    Python

  3. frankmst frankmst Public