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Journey Through AI Evolution
This chapter narrates the speaker's personal journey in the realm of machine learning and artificial intelligence from the late '90s to the present. It highlights key developments and challenges faced in AI applications, particularly in healthcare and automotive sectors, and discusses the importance of data accuracy and bias mitigation. The chapter further emphasizes the need for robust testing, transparency, and human feedback in the development of advanced AI models to ensure their reliability and effectiveness.