Understanding LLM Safety

Hosted by Amir Feizpour and Sahar Rahmani

Fri, Mar 28, 2025

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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61 students

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Build Multi-Agent Applications - A Bootcamp
Amir Feizpour, PhD and Abhimanyu Anand
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What you'll learn

Comparison of data privacy of most common LLMs.

Risk of using DeepSeek compared to other LLMs.

How to use LLMs while maintaining privacy.

Why this topic matters

Privacy matters even if you don’t think you’re doing anything important. Your data is like your wealth and identity, and needs to be protected.  China’s regulations is different than US or Europe. It is important to know them and impact of them when using models like DeespSeek.

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.

Sahar Rahmani

AI-Ops Strategist

Sahar is an engineering and data leader specializing in AI-driven transformation, risk management, and customer experience innovation. She has led global teams in building AI-powered solutions that enhance operational efficiency and business impact across companies like RBC and Shopify. She build and scales high-performing data teams to empower products and businesses. Sahar applies analytical problem-solving to AI and data strategy, driving innovation at scale. Beyond her technical leadership, she is a passionate advocate for diversity in tech, actively mentoring and empowering underrepresented groups in STEM.

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