Large Language Models (LLMs) are advanced AI tools pivotal in software testing for creating, debugging, and testing code. While models like GPT-4 and Gemini excel in understanding and manipulating software, the challenge lies in customizing LLMs to meet specific software testing needs. This discussion delves into the essential aspects of LLMs and the detailed training approaches necessary to harness their power for software testing, highlighting their role in transforming software quality assurance processes.
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