Graph DB and SPARQL

• Ontotext Academy
  • The academy is free, you just need to register with your email.
  • Has two learning paths: "GraphDB Developer" and "GraphDB Knowledge Graph Engineer", each consisting of 3 courses
  • The second learning path has 3 courses:
    • Course 1: Introduction to Semantic Technologies
    • Course 2: Semantic models with GraphDB
    • Course 3: SPARQL
  • Normally the 3 courses need to be taken in sequence, and we highly recommend it if you have no experience with semantic technologies or want to get a certificate.
  • To take only a selected course, register and then contact "bob dot ducharme at graphwise.ai"
• Learning SPARQL: a famous book by Bob that you can buy on Amazon in paper or Kindle format.
• GraphDB Sandbox - GraphDB ready-to-go and pre-packaged projects coupled with detailed walkthroughs

Pool Party

• Pool Party Academy - official training materials for PoolParty

Graphwise Introduction to LLM and RAG

Recent training covering LLM use cases, evaluation methods, internal workings of LLMs (like tokenization and embeddings), and fine-tuning techniques. The slides also covers practical applications as well as broader themes like AI readiness and the future of AI.

A recording is available for the first presentation and will be added for the others in the near future.

• 1.2 LLMs under the hood Slides / Recording
• 1.3 LLM Use Cases Slides
• 2.1 Evaluating LLMs Slides
• 2.3 Fine-tuning Slides
• 2.4 Predicting the Future Slides

Other

• Ontotext Refine: RDF transformation tool on top of OpenRefine (demo recording)