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Why LLMs Keep Missing This One Thing | Jason Ganz

The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

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AI, Data Access, and Governing Challenges

This chapter focuses on the integration of AI in data engineering, particularly the need for robust governance to protect sensitive data access amidst rising AI applications. It examines the issues surrounding large language models (LLMs), including their limitations in processing structured data and the phenomenon of hallucinations that can lead to inaccuracies. The discussion emphasizes the importance of context, accuracy, and human validation to enhance the reliability of AI-generated outputs in corporate decision-making.

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