Confidently Wrong – Post 2
Confidently Wrong – Post 2 In the first post about my Global Summit session “Confidently Wrong: Avoiding GenAI Pitfalls with SME-First Thinking” we summarized how GenAI works and how its training influences the results returned. It focused on how Large Language Models (LLMs) are pattern matchers that return likely and plausible results, but do not truly understand project management. LLMs have been trained on vast datasets which make them great for suggesting project artifact templates, but usually poor at filling in the details for your unique project. Also, due to their training materials, they tend to suggest summarized content of popular ideas, unless specifically forced to think deeper and broader. Finally, while their outputs look plausible, we always need a […]
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