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Addressing AI Hallucinations and Enhancing Efficiency
This chapter explores the challenge of hallucination in AI models and introduces retrieval augmentation generation as a solution to ensure accurate and relevant responses. It highlights advancements in AI efficiency, focusing on strategies for improving model reliability and the transformative potential of AI tools in software development. The discussion covers practical applications, user satisfaction, and the vision for integrating AI-driven personal assistants into daily tasks to enhance productivity.