Overview
Human in the Loop (HITL) is a process that combines human judgment and machine learning to improve AI systems. In this approach, humans provide feedback, make decisions, and help train AI models. This ensures that AI can learn from real-world scenarios and become more accurate over time. Understanding HITL is essential for creating effective AI solutions that work well alongside people.
📚 Key Learning Objectives
- ✓ Define Human in the Loop and its importance in AI.
- ✓ Identify examples of HITL in real-world applications.
- ✓ Explain how humans contribute to AI training.
- ✓ Assess the benefits of using HITL in AI systems.
- ✓ Discuss challenges faced in implementing HITL.
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