Ankush
Gautam
Senior Manager, Engineering at Datastax
"Impact of high quality data on LLM hallucinations"
"Impact of high quality data on LLM hallucinations"
Wed May 21 - 5:50 PM EDT/New York (See in local time)
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05/21/2025 5:50 PM
05/21/2025 06:00 PM
America/New_York
#WTGC2025
"Impact of high quality data on LLM hallucinations"
#WTGC2025
"Impact of high quality data on LLM hallucinations"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Impact of high quality data on LLM hallucinations"
"Impact of high quality data on LLM hallucinations"
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Session: Impact of high quality data on LLM hallucinations
The quality of training and reference data is critical in mitigating hallucinations. This portion of the session will explore how structured, accurate, and context-relevant datasets can reduce error rates in LLM outputs. Drawing on current research, we will also discuss various types of data issues—such as noise, incompleteness, and bias—and illustrate how they influence model reliability and factual correctness.Key Takeaways
- Structured governance and rigorous data pipelines boost AI reliability.
- Techniques like data augmentation and RLHF reinforce factual outputs.
- High-quality, context-relevant data is critical for minimizing LLM hallucinations.
Bio
Ankush Ramprakash Gautam is a strategic data leader, Judge, Mentor, and Speaker with 16+ years of experience in designing and scaling enterprise-grade data platforms, data engineering, data science and Generative AI solutions.Ankush has expertise in aligning technical strategies with business objectives, driving innovation, and mentoring high-performing teams. Proven ability to deliver measurable business outcomes, optimize costs, and foster a culture of excellence.
