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This was something new to me since I always used these tools as a student. The course looked at Gen AI with the perspective of an instructor. What I can do is maybe relate my own personal experiences with these GPTs and help in discussions involving how to make it more accessible and fair so as to keep it as part of curriculums

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I have experience developing a personalised chatbot

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I noticed most of the projects done focused on having a customised GPTs (chatbots based on chatGPT)as a personal tutor. I have worked with some of these custom GPTs.

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I was particularly excited to see the sociology, game design and the advance writing courses’ usages with image generation and guidelines setting. Upon perusing recent papers in human computer interactions and guidelines of AI-infused systems, the advanced writing course’s usage of discussing with the class prior to setting the course’s rules in terms of how GEN AI must be used.

The video game design course was also something that aligns with my past use cases of generating and finding inspiration from AI-generated art styles which is what the course activity focuses on as well - generating characters in various environment and utilizing that to create an initial plot and character history.

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The idea of students taking the same course and still having unique experiences because of personalised chatbots was quite intriguing.

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In the course, the speakers highlighted on how important context is in getting the best out of chatGPT or any other Gen AI tool for that matter. They spoke about how to create prompts. I had worked on different kinds of prompts and how to engineer a prompt for a program that I was part of.

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My Professor has a custom GPT for the class, just as they mentioned in the course

As a TA, I use gen AI tools to help me with the grading. I extensively use the 'Persona Prompting' that was highlighted in the course

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I noticed a lot more emphasis on creating simulation environments as discussed in the course as well as the reading resources mentioned. Most interesting papers were the ones that discussed creating a local GPT tutor with chain-of-thought prompting - and other prompt techniques which I had the chance to get behind of during my recent co-op. Fine-tuning prompts to nudge the student into the right direction and working through a problem along with emphasis on GPT taking on personas was something that I have done before to help me with business processes and education.

I also came across the learning through tutoring paper which had insights on how to make a student learn better. The content of this aligns with my interactions with students as a TA and I am sure I can use this to create personalized GPTs for students.

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I think the course does a great job talking about custom GPTs as well as guidelines of AI usages. There could be additional sections that dive deeper into various prompting techniques like prompt-chaining, few-shot as well as persona creation for more personalized systems. My experience in prompt engineering during a lot of my co-op as well as casual research paper reading where I ask the model to nudge me in the right direction during complex equations could come in handy.

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The readings and also some of the stats mentioned in them and this course were quite insightful.

Specially the idea of using Ai for backward planning was something I was recently thinking about a lot.

While working on the bot, I also figured out that giving it an identity and asking it to provide a chain of thoughts makes it perform better.

using GPT not only as a tutor and a friend also helps

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One Prof. said, "Employers are going to want them to know how to use them".

I came across this saying while I was doing my co-op.