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Tutorial Syllabus

Video Tutorial by artworkbean from the Noun Project

Coding samples in the following notebooks help illustrate the use of TextGraphs and related libraries in Python.

Audience

  • You are a Python programmer who needs to learn how to leverage LLM-augmented workflows to construct KGs
  • You are an ML engineer who needs to understand how to integrate LLM research results into production-quality apps

Prerequisites

  • Some coding experience in Python (you can read a 20-line program)
  • Some familiarity with ML, specifically with LLM applications
  • Interest in use cases that need to use NLP to construct KGs

Key Takeaways

  • Hands-on experience with popular open source libraries in Python for natural language at the intersection of LLMs and KGs
  • Coding examples that can be used as starting points for your own related projects
  • Ways to integrate natural language work with other aspects of graph data science