Wrapping Up

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>> Sabrina Goldfarb: That wraps it up. Thank you to everyone. I hope that you got a lot out of today. I know we covered a lot of topics, but some really interesting research papers. There are tons of other research papers out there as well that are very worthwhile in terms of reading. I'm happy to add a bunch to the resources, but I wanted to make sure that we were able to cover well a lot of these topics, especially some of the simpler ones and then go into some of the more advanced ones and get to look at them in both a mixture of like a code setting and an architecture setting and a learning setting and just also like a being goofy setting and kind of practicing practice with these prompts, right?

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We have these LLMs on our phones and we have them on our computers and we have them everywhere and there are AI applications everywhere, so spend a little bit of time to really just have fun and practice and see what gets you the best results, but I really appreciate you all taking the time to be with me today, and if anyone has any questions ever, please don't hesitate to reach out on LinkedIn, on GitHub, or anywhere else, and I'd love to chat.