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Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

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We talked about:

  • Anahita's Background
  • Mechanical Engineering and Applied Mechanics
  • Finite Element Analysis vs. Machine Learning
  • Optimization and Semantic Reporting
  • Application of Knowledge Graphs in Research
  • Graphs vs Tabular Data
  • Computational graphs
  • Graph Data Science and Graph Machine Learning
  • Combining Knowledge Graphs and Large Language Models (LLMs)
  • Practical Applications and Projects
  • Challenges and Learnings
  • Anahita’s Recommendations


    • Links:

    • GitHub repo: https://github.com/antahiap/ADPT-LRN-PHYS/tree/main

      • Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

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