
AI and Machine Learning
When Generative AI Meets Product Development
From ideation to user testing, large language models are allowing companies to explore more ideas and iterate faster.
From ideation to user testing, large language models are allowing companies to explore more ideas and iterate faster.
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
Previous waves of technology have ushered in innovations that strengthened traditional organizational structure. Not so for generative AI and large language models.
With AI still making wild mistakes, people need cues on when to second-guess the tools.
Overestimating the capabilities of AI models like ChatGPT can lead to unreliable applications.