Master Thesis in Visual Representation of Technical Diagrams for LLMs - remote possible
GermanyEntry
Salary not disclosed
Job Details
- Languages
- English
- Required Skills
- PythonData AnalysisMachine LearningData science
Requirements
- Master studies in Computer Science, Data Science, or comparable fields.
- Proficiency in Python.
- Prior experience in building RAG systems or chatbots is ideal.
- A self-driven, proactive, and solution-oriented individual with a strong independent work ethic.
- Strong passion for developing the best possible solutions.
- Fluent in English.
Responsibilities
- Research optimal methods for processing and representing technical diagrams for integration with LLMs.
- Explore challenges and limitations of current multi-modal LLMs with visual data.
- Design a pipeline for creating a synthetic dataset linking diagrams to textual descriptions.
- Investigate how dataset quality and structure influence model training and performance.
- Conduct testing on real-world technical diagrams from various domains.
- Develop metrics to assess model interpretation and generation based on diagram inputs.
- Perform comparative analysis of multi-modal models on handling technical diagrams.
- Investigate potential of abstract markup syntax for universal representation of technical diagrams.
