Hybrid AI combines various AI techniques and models to leverage their strengths and mitigate weaknesses, enabling more accurate and reliable outcomes across industries, such as healthcare and finance. This approach improves the transparency of AI decision-making, allowing for better understanding and trust, particularly in regulated sectors. While Hybrid AI offers significant promise for developing more powerful and ethical AI systems, it also faces challenges like integration complexities and resource demands.
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