The SEI recently hosted a question and answer webcast on generative AI. This webinar featured experts from across the SEI answering questions posed by the audience and discussing both the technological advancements and the practical considerations necessary for effective and reliable application of generative AI and large language models (LLMs), such as ChatGPT and Claude. This blog post includes our responses, which have been reordered and edited to enhance the clarity of the original webcast. It is the first of part a two-part series and explores the implications of generative AI in software engineering, particularly in the context of defense and domains with stringent quality-of-service requirements. In this part, we discuss the transformative impacts of generative AI on software engineering as well as its practical implications and adaptability in mission-critical environments.
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