Reinforcement Learning from Human Feedback (RLHF) is a method where AI models are fine-tuned using data from human interactions. It empowers systems to understand human preferences better, as seen in videos about fine-tuning models like Claude and optimising agents like Unitree G1. You'll learn how RLHF shapes AI systems, addresses issues like reward hacking, and drives advancements in reasoning models, making it essential for AI engineers and enthusiasts.
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The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
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Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
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