915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi
Super Data Science: ML & AI Podcast with Jon Krohn
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The Journey to Trustworthy AI
This chapter explores an individual's impressive journey from completing undergraduate studies at 16 to working with IBM Watson, discussing their multifaceted experiences including language acquisition and musical involvement. It emphasizes the critical aspects of developing trustworthy AI systems, covering technical topics such as adversarial attacks, red teaming, and the importance of robust testing practices. Additionally, the conversation highlights the significance of major tech conferences for enhancing cybersecurity knowledge and the need for frameworks to define and align AI behavior effectively.
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