Anukriti
Gupta
AI Solution Architect
"Knowledge Graphs & LLMs: Multi-Hop Question Answering"
"Knowledge Graphs & LLMs: Multi-Hop Question Answering"
24 - 5:50 AM EDT/New York (See in local time)
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04/24/2024 5:50 AM
04/24/2024 06:10 AM
America/New_York
#WTGC2024
"Knowledge Graphs & LLMs: Multi-Hop Question Answering"
#WTGC2024
"Knowledge Graphs & LLMs: Multi-Hop Question Answering"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Knowledge Graphs & LLMs: Multi-Hop Question Answering"
"Knowledge Graphs & LLMs: Multi-Hop Question Answering"
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Session: Knowledge Graphs & LLMs: Multi-Hop Question Answering
This talk delves into the dynamic intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs), with a specific focus on Multi-Hop Question Answering. Knowledge Graphs provide structured representations of information, while Large Language Models excel in natural language understanding. Combining these technologies opens avenues for addressing complex questions that span multiple pieces of information. The session explores the synergies between KGs and LLMs, highlighting real-world applications and advancements in the realm of multi-hop question answering.Key Takeaways
- Graph
- Data Science
- AI
Bio
With a decade of experience in the realms of Data Science and Graphs, Anukriti embarked on her professional journey driven by a curiosity for the intersection of mathematics and computers. Her path led her into the dynamic field of Data Science, where she contributed her skills to esteemed financial institutions such as HSBC, Amex, and some regional banks in Philippines. For five years, Anukriti played a pivotal role at UnitedHealthGroup, leveraging AI to enhance the clinical aspects of a member's healthcare journey. Presently, she is deeply immersed in the world of Graphs, exploring the boundless possibilities and striving to unlock the full potential of this domain.