Thank you, @jeremy for giving us so much! I am eagerly looking forward to the course, and especially the dissection of the Transformer architecture that youāll do!
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Superb, soo happy to receive this invite. Eagerly waiting for the lessons.
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Oh wow, that was a long time since I participated in the course! And many changes happened in the Deep Learning landscape. Would be great to know Jeremyās opinion on the recent trends, like multi-billion parameter LMs and Transformers in general. The fast.ai courses was the first place where I learned about applying transfer knowledge for NLP. So maybe weāll get some great insights this time as well 
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WOW! thanks a lot Geremy, for this new course and for sending me an invite, I am so very happy about this invite.
Infinite Thanks and blessings for all you give Geremy.
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Thank you @jeremy for welcoming us! Looking forward to learning more stuff.
Is it already cool/acceptable to publish new topics in this 2022 forum about anything related to fastai?
Sure feel free. Best to use this thread unless itās an issue large enough to need its own thread: General course chat
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Correction: I wrote originally āNote that in the US this will be April 25th.ā But thatās wrong. Itās actually first thing in the morning April 26th.
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Iām so happy to hear that your courses are staring up again. Theyāve already made an incredible difference in my life. I hope youāll let us know how youāve been doing these last couple of years and how your plans to boot up Deep Learning in Australia are going. Thanks very much for inviting us! 
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Iām so very happy to be here! Iām looking forward to the course and Iām reading the book again to be better prepared. Beyond the content, Iām also eager to enjoy those practical pearls of advise that are dropped casually during the classes, and to reconnect with this fantastic community. Thank you!
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Letās go!
Glad to have the course back and glad to be back with the community to enjoy it. A couple of things ā¦
First, for folks new and old, Iām blogging the relevant part 1 portions of the fastbook at ohmeow.com (and yes, I will be done before lesson 1).
Second, for folks looking to get a jumpstart with training transformers with fastai, I just released version 1 of my blurr library and also posted a blurrified version of one of Jeremyās notebooks that shows how to use it for a regression problem.
See yāall on the forums, discord, twitter, etcā¦ etcā¦
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Thank you so much @jeremy, happy to receive an invite.
Looking forward to learning new stuff!!
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Thanks a lot for inviting me @jeremy . Canāt wait to learn more on the transformers, as I know you always have amazing insights to give
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This is the only course I take every time it comes out. Even if it starts from the basics: thereās always something new, Jeremy & Rachel have this independent way of researching thatās just 
, and this community is the best and most accessible way to get into ML.
I started here years ago and learned ML hand in hand w software dev. Now coming from industry Iām looking forward to seeing whatās new to learn and helping out.
Thanks a lot for the invite, I really appreciate it.
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Thank you so much for the updated course. Looking forward to learn and contribute.
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Glad to hear the course is offered again and thanks for the invite. @jeremy your teaching is incredible and fast.ai is generous to offer such learning opportunities for everyone. Eager to learn new material on Transformers from you as I tend to suggest this to one of my PhD student who is trying to develop an AI model to generate Python code from clinical documents.
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Thanks for the invite Jeremy. Feels good to be back
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Iām looking forward to it. 
wonderful!, itās always a great day for the AI community when fast.ai releases something, looking forwards
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Itās been a while for me - thanks for including me this time!
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