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On demand WEBINAR

  • Date: 07-11-2024
  • Duration: 42 min
  • Price: Free

How to optimize knowledge graphs for generative AI in the pharmaceutical industry

Preparing your knowledge graph for generative AI

Preparing your knowledge graph for generative AI is crucial, as it can significantly impact how well an LLM (large language model) can interact with it. Just like humans, AI can struggle with noise, ambiguity, and assumed knowledge. At ONTOFORCE, we've gained extensive experience in helping LLMs effectively use knowledge graphs.

How to optimize knowledge graphs for Generative AI in the pharmaceutical industry (1)

Why should you join?

In this webinar, we’ll share valuable insights on how to optimize a knowledge graph for generative AI, including: 

  • How to benchmark your graph for GenAI
  • The importance of labels and descriptions
  • Reducing ambiguity
  • How to deal with implied or assumed domain knowledge. 

Fill out the form to register and begin your journey toward turning data into actionable insights.

Access the recording

Speakers

Martin Robbins

Martin Robbins

Head of Product
ONTOFORCE

 

Kris Vanheede Senior Software Engineer & Architect ONTOFORCE  (1)

Kris Vanheede

Senior Software Engineer & Architect
ONTOFORCE 

Who should watch

Senior profiles in research and IT, along with others that are interested in advancing data, AI, and new technologies in life sciences organizations. 


  • Data scientists
  • Data managers
  • VP data and AI
  • Scientific researchers
  • Heads of research & development 
  • Director data strategy & governance
  • Bioinformaticians
  • Director data science
  • Industry leaders and decision-makers