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Navigating the AI Landscape Post-GPT-4
This chapter examines the state of AI following the introduction of GPT-4, focusing on the application layer and the need for high-quality data to drive model improvements. It discusses the importance of self-improvement mechanisms for enterprises and envisions future AI applications in a landscape marked by challenges in multimodality and data scarcity. The conversation further explores the journey toward artificial general intelligence, likening it to the complex process of curing cancer, highlighting the necessity of methodical progress and adaptability in the AI sector.