Day 2 Livestream with Paige Bailey - 5-Day Gen AI Intensive Course | Kaggle

[@jkomkaran4545]

Thank you very much for hosting this wonderful q&a session ,pop-up quizzes Paige. I really enjoyed everything: Everything was really informative. Also, thank you very much for the white paper and Kaggle labs.Thanks to Anant, Mark' expert panelists, and all who worked behind this great work.

[@akinwunmioluwaseun3772]

Thanks for fixing all the issues. The quality really improved. Kudos to the team.

[@Dagnubeyene]

It was interesting. It was the middle of the night here in East Africa. I am now watching what I had missed on RUclips.

[@akosuam495]

i know right

[@AmeerAbdulmajeed]

Thank you for the opportunity! 😃

[@luizcarluz]

Thank you for the opportunity !😃

[@marysiazukowska6330]

Thank you for yout time and answers, this was interesing!

[@owaisahussain]

Thanks for such a great lecture. I wish I could attend live.

[@VusiMadonsela-l4z]

Very interesting especially with the reference we are provided

[@nadeemmasih8505]

When we use OpenAi API key we make the chunks of data before embeddings while using Gimni API key we did not make the chunks /text splitting is it possible due to large context window of Gimni modal?

[@tushihahahi]

Really liked the quiz at the end of sessions.

[@dadoll1660]

Thank you! Kaggle and Google.

[@AboYousef298]

Thnx for generous knowledge-sharing

[@ashashishgupta]

Can you please let me know that how to access Google Collab Notebook

[@anz-t1f]

Loving the content!

[@sridharkalalae6677]

Thanks lot, a very good teaser

[@manikandanramaraj3278]

Thanks,,,, for shrring the recordings

[@MarievictoireIpouk]

thank you. Great course👏👏👏👏

[@01kunalkapade34]

Thanks for this Day 2

[@jz-videos7260]

Hi Google team and every one; Hello from Bay Area CA

[@magictv444]

thanks For kaggle and Gemini also for Google

[@DrASA-rt6dq]

Indeed, this is very useful.

[@VietDo-m4i]

Thank you! Appreciate it!

[@DhirajPatra]

No way Kaggle notebook is getting save. It is always getting eshausted token limits. Thanks

[@bwowekeith4472]

Try quick save rather than the save and run option

[@venkatesansrinivasan1132]

B

[@venkatesansrinivasan1132]

Cnn

[@venkatesansrinivasan1132]

C

[@venkatesansrinivasan1132]

D

[@2025chegando]

THANK YOU❤BRASIL🇧🇷👋

[@JamalNasir-d8m]

very informative course

[@aamir.rasheed]

exciting, wonderful

[@ArmVinaye]

very interesting course

[@AmeerAbdulmajeed]

good

[@grasscollantes-padrique1120]

Thank you!

[@PritiBharambe]

very informative

[@stifenjans4342]

thx kaggle 🙏

[@stifenjans4342]

- Retrival Augmented Generative with chroma db, n limittation LLM, 5:39
-embeddeding data function to memory chroma db perhaps.. 8:20
- coffecien correlation heatmap semantic data, 10:20
-embeddeding vector data is, 19:42
-LLM Decoder to embedded backbone, 37:22
-victories data embeddeding opens source n cost of gugel, manajize, 24:16
-conventional methods like extrating ocr, 41:26

[@ayranoor3497]

Informative

[@ayatweb]

GREAT

[@TochukwuAni-p3n]

Improve

[@m.mathinakanicse6654]

D

[@ratkush]

Atleast make these videos ad free

[@jay_wright_thats_right]

People make comments like they are going to get hired by Google. So fake...LMAO

[@hodunutt]

omg, no code, no result of experiment, just talking?

[@sammyfrancisco9966]

He is talking about the paper and the code shared in a notebook on kaggle.