Your AI assistant shouldn’t just tell you what you want to hear. In AI Prompting for Everyone, Andrew Ng explains why models can become overly agreeable, and how better prompting helps you get more accurate, useful answers instead. Enroll in the course now: hubs.la/Q04gpmlz0

@DeepLearningAI Useful framing. The practical version for operators is: make the model show the no-go case first, then the recommendation. Agreeableness is easiest to catch before anything gets automated.

@DeepLearningAI An overly agreeable model is a little county eval queue where every prompt gets approved, filed, and sent home with confidence.

@DeepLearningAI هذا الأمر على الإنجازات.