good

good

good

good

good

Уау

N/A

جيد

GAI

Gr8

🔥

na

NA

ok

Na

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ا

Written using Copilot (I have started using LLM's more after this course) The Generative AI course is a well-structured program that does an excellent job of introducing the fundamental concepts to beginners which allows them to build their knowledge gradually and at their own pace. However, the course could benefit from a more in-depth exploration of how AI models can be implemented in corporate settings. While the course does touch on this topic, a more comprehensive module or even a separate course on this subject would be a valuable addition. This would provide students with practical knowledge and skills that they can apply directly in their professional lives. Another area where the course could improve is its treatment of responsible AI. Currently, the course takes a somewhat superficial approach to this critical topic. Given the increasing importance of ethical considerations in AI, a more thorough examination of responsible AI would be highly beneficial. This could include discussions on bias in AI, data privacy, and the societal implications of AI. Despite these areas for improvement, the course is still a valuable resource for anyone looking to learn about Generative AI.

I found this course to be engaging and informative, providing a solid foundation in [specific topic, e.g., "generative AI and its applications"]. The content was well-structured, and the examples were relevant and easy to understand. The course materials, including the videos and interactive elements, were especially helpful in breaking down complex concepts. One area for improvement could be [mention a specific aspect, such as "more real-life case studies" or "a deeper dive into certain advanced topics"], which would make the learning experience even richer. Overall, I would highly recommend this course to anyone looking to expand their knowledge in this field.

While this course is a great starting point, it is somewhat dated due to the rapid pace of change and really should be updated. Toward the end it also puts a lot of focus on what the presenter terms "bias", but which would more accurately be termed "undesirable bias". By its nature, any LLM will be biased by the training data. Even if an undesired bias is replaced with what today we consider a desirable bias, that is still just a different bias.