This course was very helpful and allowed me to better understand the current state of Google's GenAI capabilities. It was nice to get hands on with code in the notebooks and get tangible results immediately.
Thank you for a great course on a super complex topic that is still emerging. Great presentations and Easy to follow content and follow along pathway with wealth of contents examples and guidance. Appreciate the speakers and those who facilitated. Truly humbled.
Thanks for this 5 Day intensive Video course its really appreciated , i am still in Day 1 wip, i was able to join today for Q& A session for Day 2 will attend day 3 from start.., i would request to check "Get Started with Kaggle Kernels " link
Basically AI is a trial and error to approach to approximate the least angle between points using basic Linear Algebra. It does this in 12,000 dimensions, yes I said 12,000 dimensions. To do this it uses 157,000,000,000 calculations to create each word in its AI sentence. Microsoft is planning to use a nuclear power plant to power an AI data center. Good luck.
Its very interesting, but the only thing is that the host when they want to answer a question, they go on, on , on going around. Instead of being precise, short and objective and do not use difficult words that will confound the audience. With all due respect. Please Logan, be short, brief and objective speak easy.
45:18 the probability of a token 45:29 -tempreture of LLM 47:00 what Topk and TopP does 48:40 Enum mode when to use it 50:40
Thanks Kaggle and Gemini Teams for putting this together!
hey anyone please expalin how to complete the assignment
excellent resource for learners. looking up to more such events - thanks kaggle and gemini teams
Thank you so much to Kaggle and Gemini Teams. Hope to listen to more sessions such as these. Great effort put in.
Thank you! Kaggle and Google!!!
Thank you so much to Kaggle and Gemini Teams
Thanks to the guests in the question and answer session, to Paige for moderating and to Anant for the notebook walkthrough. Great work!!!
Thanks Kaggle and Gemini Teams for these informative course
Thank you Team Gemini & Kaggle for amazing walkthrough and the course!!! ❤
Thanks Kaggle and Gemini Teams !!!!! its really very helpful and insightful . We want more session. 🙂
This course was very helpful and allowed me to better understand the current state of Google's GenAI capabilities. It was nice to get hands on with code in the notebooks and get tangible results immediately.
Thank you Kaggle for this opportunity. My expectations are high!
aitutorialmaker AI fixes this. Gen AI Intensive Course Begins
This was awesome thank you! Would love the questions on the screen next time if possible! Learnt a lot :)
Por favor, daria escrever o que você aprendeu? Compartilhar para os que não aprenderam, por gentileza?
Great, thanks all!
Thanks Kagel and Gemini
Thank you all
Thank you for a great course on a super complex topic that is still emerging. Great presentations and Easy to follow content and follow along pathway with wealth of contents examples and guidance. Appreciate the speakers and those who facilitated. Truly humbled.
Você só consegui falar isto? o que você aprendeu? Que pergunta inteligente você fez ? o que você gostaria de saber ? você faz parte o Staf?
Thank you so much to Kaggle and Gemini Teams, really very helpful and insightful
Thanks for recording.
Thanks Google and Kaggle
Nice work, enjoyed this session
Thanks to all
thanks For kaggle and Gemini also for Google
Thank you
Thanks Kaggle ❤
Thanks ..., for the quiz . it realy helpful to sharpened our learnings
Thank you!
I will love to see this but I have a really difficult test tomorrow
Thank you kaggle this was/is awesome
this is helpful !!
Thank for this Day 1 intensive course in foundation models and pop quiz...
See you in Day 2
Thank you...Mam😊
Thanks for start this course
Thank you kaggle
The lecture was informative
very informative
Great. Thank you so much
Great Informative
Thanks
Thanks!
thanks.
Thank you so much!
Thanks for this 5 Day intensive Video course its really appreciated , i am still in Day 1 wip, i was able to join today for Q& A session for Day 2 will attend day 3 from start.., i would request to check "Get Started with Kaggle Kernels " link
who is the target audience for this course? I am new to the world of AI
Where can i get the assignments now?
Thankyou all :)
thanks
thank you so much
Thankyou kaggleee
Hi i know i am too late for registration but is there any way to receive the materials? I am currently coming back from a conference
Thx🙏, kaggle
-Amin, quantitative 17:09
-Majd, larger model thaugh smaller model 22:55
- temperature, diversity or creativity the higher more creativ 46:12
- limiting n filtering Top-K n Top-P, 47:02
-Enume Mode, kondo threshold "NEGATIF", " POSITIF", "NEUTRAL"., 48:17
-RenAct, Reasons & act to, 51:57
Couldn't register, but hopefully i can follow along. thanks
Merci!!!
Excellent
Do i need to know coding before starting with this program?
Parabéns cara , foi primeiro comentário útil. Os outros comentários só ficaram
babando ovo. Não aproveita nada!
Yes, I will recommend to have some basics of coding
Thanks for the walkthrough. Am I the only one seeing blurry presentation? Will be better if full screen is shared.
Yeah, also the speaker has a ton of "uhhs" and "aahs" that are distracting. Besides that, where is the whitepaper he keeps mentioning?
HELLO❤BRASIL🇧🇷👋
I am not able to join the discord server from the link
That's great
🎉🎉
can we do day 1 assignment on day 2
Aos que estão gostando do Curso !! Por favor daria para escrever algo interessante sobre o que aprenderam para nós, por gentileza?
Please how can I get my API key on Google colab notebook
Where can I get the Day-1 assignments
Your email.
that's very hard unfortunately to read each day... any tips?
Missed the course, can I have invite for Discord channel?
where can i find the white paper?
It was sent to us in a separate email(first link) everyday before the live session.
Hello , does anyone received email for second day assignments?
Just got it this afternoon
@@Ashley-su6tg thanks , recived it just now , don't get the time difference though!
@@ashkanmoaddel619 didnt get it yet
@@WordsOfWisdomByRome so i think its almost random
Yes I just got it
Basically AI is a trial and error to approach to approximate the least angle between points using basic Linear Algebra. It does this in 12,000 dimensions, yes I said 12,000 dimensions. To do this it uses 157,000,000,000 calculations to create each word in its AI sentence. Microsoft is planning to use a nuclear power plant to power an AI data center. Good luck.
I have a question, i'm a data analyst for digital marketing student, ¿this course can help me for my work in marketing analyst?
hardly, but definitely good for expanding horizens
Awsome
YAY
Phone verification not working
Não gostei de nada. um Curso sem nenhuma Legenda!
Poderia ter no mínimo em Alemão, espanhol ou Italiano. Perdi o meu tempo.
B
Hello
👍
yahh
Its very interesting, but the only thing is that the host when they want to answer a question, they go on, on , on going around. Instead of being precise, short and objective and do not use difficult words that will confound the audience. With all due respect. Please Logan, be short, brief and objective speak easy.
Thank You
Thanks
thanks