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From Programming to Learning Systems
This chapter contrasts traditional programming, which relies on explicit instructions from programmers, with learning systems that adapt through data analysis. It critiques current machine learning methods for their limitations in true intelligence and creativity, exploring the advantages of genetic algorithms over conventional curve fitting methods. Additionally, the chapter explains the mechanics behind large language models, including how they represent and manipulate semantic data in high-dimensional spaces for innovative transformation.