Give Your LLM A Left Brain

Tuesday, March 11
9:00 a.m. IST | 11:30 a.m. SGT/HKT/CST | 12:30 p.m. JST | 2:30 p.m. AEDT
30 Minutes
GenAI works better with tasks similar to analytical right-brain creative activities than intuitive, left-brain activities. While LLMs can generate human-like text, they lack real-world factual knowledge. This limits their reasoning abilities and usefulness for real-world applications, especially with tasks similar to left-brain activities. It’s often why LLMs hallucinate.

​​To reduce hallucinations in LLMs, you can "give them a left brain" by grounding them with accurate, structured data. By integrating retrieval-augmented generation (RAG) with knowledge graphs built from factual, up-to-date information, you can use a powerful retrieval mechanism called GraphRAG that enhances the reliability and accuracy of GenAI results.
Join us on March 11 for a 30-minute discussion where you’ll learn more about how to:

  • Improve GenAI relevance, accuracy, and explainability
  • Enable GenAI governance to ensure data security and privacy
  • Get started with The Neo4j Knowledge Graph Builder

Register to see how to overcome the limitations of LLMs with GraphRAG. Even if you can’t attend, you’ll receive access to an on-demand recording of the event.


SPEAKER

Stephen Chin  Image

Stephen Chin
Vice President, Developer Relations

Stephen Chin is VP of Developer Relations at Neo4j and author of The Definitive Guide to Modern Client Development, Raspberry Pi with Java, Pro JavaFX Platform, and the DevOps Tools for Java Developers title from O'Reilly. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne, Joker, swampUP, and Open Source India. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing hackers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters.

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