Better RAG using Relevant Information Gain
Hosted by Amir Feizpour and Marc Pickett
Fri, Sep 5, 2025
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
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Go deeper with a course
Fri, Sep 5, 2025
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
about balancing diversity and relevance in retrieved passage
how relevant information gain can optimize retrieval
how this approach achieves SOTA results on benchmarks
Why this topic matters
You'll learn from
Amir Feizpour
Founder @ Aggregate Intellect
Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect building a generative business brain for service and science based companies. Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir also serves the AI ecosystem as an advisor at MaRS Discovery District, works with several startups as fractional chief AI officer, and engages with a wide range of community audiences (business executives to hands-on developers) through training and educational programs. Amir leads Aggregate Intellect’s R&D via several academic collaborations.
Marc Pickett
AI Researcher @ Emergence AI
Marc has pursued AGI in various guises for over 30 years, starting with Reinforcement Learning with Satinder Singh and Andy Barto, then moving to unsupervised "Robot babies" with Tim Oates and David Aha, and finally working at Google AI on a team led by Ray Kurzweil, where Marc worked on Continual Learning. Since 2023, Marc has worked at a startup, Emergence AI, where he works on Long-term memory for automated assistants. His team recently achieved state of the art performance on the LongMemEval benchmark for evaluating long-term memory.
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