Enhancing a Log Analyzer through Knowledge Graph Implementation

7 days ago

Lund, Skåne, Sweden Bosch Full time
Job Description

Problem Statement

Context

Bosch's existing AI-based tooling for software developers is being explored for optimization through new methods.

Problem

The results from Large Language Models (LLMs) can be inaccurate, providing incorrect answers or failing to interpret questions correctly.

The LLM can produce results with non-existing data, known as hallucinations, which can impact application/developer reliability and validity.

Proposed Solution

Enhancing the LLM with a knowledge graph can improve accuracy and reduce hallucinations by providing semantics and context to the data.

This makes it easier for the LLM to draw correct conclusions from the data, structuring it clearly.

The solution will be implemented as a proof of concept and evaluated based on performance regarding accuracy and hallucinations.

Goal of the Master Thesis:

To implement a proof-of-concept for a Graph RAG LLM and evaluate its performance regarding accuracy and hallucinations.

Suggested approach:

  • Implement the GraphRAG with an existing LLM
  • The LLM should be extended with a GraphRAG implementation
  • Use an open-source dataset as the data source for development
  • Validation will be done with Bosch Log-Analyzer tooling

Bosch offers the opportunity to shape the thesis based on your knowledge, skills, and discoveries during the project.

Qualifications

Your Profile

To be successful in the project, we think you should be:

  • A student in Information Technology, Computer Science, Math, or Physics
  • Required knowledge: courses on data science, AI, and graph databases
  • Interested in algorithm development and have experience with machine learning knowledge
  • Experienced with or have knowledge of programming in Python
  • Self-driven, able to challenge yourself, and gain the experience needed to move the project forward
  • A person with team spirit, social skills, and curiosity for exploring new technology areas

Additional Information

Scope of Master Thesis Project

1-2 students completing 30 credits each (20 weeks) onsite at the Lund office.

How to Apply

Please specify which project you are interested in. Please note: Only applications from students at a Swedish University are accepted.

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