What are feedback loops in AI projects?
An example of an AI chatbot conversation about feedback loops in AI projects.
What are feedback loops in AI projects?
Feedback loops in AI projects refer to the process where the output of a system is used as input for future iterations, improving performance.
Can you give me an example of a feedback loop in action?
Sure! In a recommendation system, user interactions (like clicks or purchases) are fed back into the model to refine future recommendations.
How do feedback loops improve AI models?
They help models learn from real-world data, adapt to changes, and enhance accuracy over time by continuously updating their parameters.
What challenges do feedback loops present?
Challenges include data quality, potential bias reinforcement, and the complexity of managing the feedback process effectively.
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