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Description: Large Language Models (LLMs) like ChatGPT has inspired the world and started a new AI revolution. However, it seems that the latest trend is supplying ChatGPT with external information to increase its accuracy and give it the ability to answer questions where the answers are not present in public datasets. In this session, he will demonstrate how using a knowledge graph as a storage object for answers gives you explicit and complete control over the answers provided by the chatbot and helps avoid hallucinations.

Bio: Alison Cossette is a dynamic Data Science Strategist, Educator, and Podcast Host. As a Developer Advocate at Neo4j specializing in Graph Data Science, she brings a wealth of expertise to the field. With her strong technical background and exceptional communication skills, Alison bridges the gap between complex data science concepts and practical applications. Alison's passion for responsible AI shines through in her work. She actively promotes ethical and transparent AI practices and believes in the transformative potential of responsible AI for industries and society.

Related topics

Artificial Intelligence Applications
Machine Learning Apps
Graph Databases
Chatbots
Knowledge Graphs

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