Loved collaborating on this course, really excited for everyone to try it out!

The 'judge your own output' loop is the part most people overlook. Single-shot generation optimizes for plausible — iterative self-critique optimizes for good. That distinction matters more than the model quality itself.

Great course! Thanks for sharing DeepLearning.AI

Andrew’s team consistently brings learning content on the latest AI tools and methodologies. This greatly benefits smaller tech companies by helping them stay ahead of the curve. Katie Nguyen and Wafae Bakkali, PhD Thank you for putting this together.

Loved that critic part, Generating is one thing but evaluating your own output is where it gets tricky also enrolling to see how they handle it

I completed this course, Google's flexibility with agent adk to process text, audio, video is really amazing. I recommend this.

Interesting direction. We’re moving from AI generating content to AI evaluating, critiquing, and iterating on its own outputs — shifting from creation to feedback loops. The quality of the critic may become just as important as the quality of the generator.

Absolutely the image generations workflows are usually insensitive- critics are must in pipeline along with HITL for scalable solutions. Speaking from editorial cartoon generation across different languages and regions.

Hi Andrew Ng also looking forward for an LLM specialization course i.e I mean the LLM bible - Everything combined, also the field it's not even > 20 yrs unlike classical ML but I believe you can create it. Looking forward to connect with you

Great to see the positive feedback everyone is sharing about the course in the comments 😊