The Importance of Human Feedback in AI Model Training

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To get the best results from AI, it's important to have an ongoing collaborative relationship with the model. This involves giving direct feedback and continually helping the model improve. In the case of Pi, an AI assistant, interacting with it and offering feedback helps it become smarter. The model retains specific information for each individual user, making it personalized. Having humans in the loop is crucial for both AI experimentation and ethical responsibilities. When experimenting with AI, it's important to have realistic expectations and be prepared for discomfort. AI is not a solution to all problems.

AI can be overwhelming. In this 3-part series, we offer business leaders an actionable playbook to best implement AI. Part one: To unleash AI’s true power of scale, you must dive headfirst into ongoing experimentation. To guide you, host Reid Hoffman speaks to Stanford HAI’s Fei-Fei Li, Inflection’s Mustafa Suleyman, Adept’s David Luan, and more AI pioneers. Their experiences with AI provide a perfect lens for any leader to better understand and navigate this new era, even in industries far from the leading edge of tech trailblazers. So channel your inner mad scientist and embrace this new revolutionary tool with us.

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