
[AIEWF Preview] Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect
Latent Space: The AI Engineer Podcast
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Navigating AI Safety and Ethics
This chapter explores the recent controversies surrounding machine learning safety measures, particularly the ethical dilemmas posed by conflicting objectives in AI models. It examines the intricacies of engaging large language models in multi-agent reinforcement learning, addressing challenges in functionality and security, as well as the unpredictability of chaotic systems and their impact on AI marketing strategies.
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