Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman episode artwork

EPISODE · Apr 5, 2024 · 53 MIN

Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

from DataTalks.Club · host DataTalks.Club

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 Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

Episode metadata supplied by the publisher feed · Published Apr 5, 2024

Embed this episode

NOW PLAYING

Knowledge Graphs and LLMs Across Academia and Industry - Anahita Pakiman

0:00 53:14

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of DataTalks.Club?

This episode is 53 minutes long.

When was this DataTalks.Club episode published?

This episode was published on April 5, 2024.

Can I download this DataTalks.Club episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!