วีดีโอ

В РФ youtube не работает, но как всегда такому видео - лайк! 🤗

More random Mondrians here: imgur.com/gallery/random-mondrians-IOvenLm

Here is the presentation notebook: github.com/antononcube/RakuForPrediction-blog/blob/main/Presentations/Notebooks/Random-Mondrians.ipynb

Very nice. I am trying to play with your notebook. But I am stuck with a (newbie) problem: could you please explain how to get rid of "Javascript Error: require is not defined" when executing initialization of D3 package cell of this tutorial's notebook?

Thanks for sharing and your excellent presentation !

Here is the presentation notebook: github.com/antononcube/RakuForPrediction-blog/blob/main/Presentations/Notebooks/Graph-neat-examples-set-1.ipynb

Here is the presentation notebook: github.com/antononcube/RakuForPrediction-blog/blob/main/Presentations/Notebooks/Graph-demo.ipynb

Here is presentation's notebook: github.com/antononcube/RakuForPrediction-blog/blob/main/Presentations/Notebooks/Geographics-data-in-Raku-demo-Google-Charts.ipynb

Here is the notebook: github.com/antononcube/RakuForPrediction-blog/blob/main/Notebooks/Jupyter/Age-at-creation-for-programming-languages-stats.ipynb

Hi! is the .ipynb available anywhere?

Here is the presentation notebook: github.com/antononcube/Raku-WWW-LLaMA/blob/main/docs/LLaMA-guide.ipynb

Another omission is not fixing the obtained by dictation "latte" into "LaTeX".

I made an omission in the video -- I did not show the export of the Jupyter notebook into a Markdown file. (1) That is a standard feature of the Jupyter framework. See this video with more detailed conversion steps using parsers: th-cam.com/video/Htmiu3ZI05w/w-d-xo.html . (2) LLMs can be also used the convert Jupyter to Markdown -- see the presentation notebook at Wolfram community community.wolfram.com/groups/-/m/t/3125446 .

Thanks for sharing, Anton! Neat demo of LLMs for Python to Mathematica notebook conversion!

Here is the longer presentation promised in the video: "Integrating Large Language Models with Raku", th-cam.com/video/-OxKqRrQvh0/w-d-xo.html

Why? Нахуя?

"Отсоединенное" лицо выглядит страшно 😲

Bloopers: (1) I forgot to mention that I used Mathematica / Wolfram Language, (2) it is not "face recognition", should be "face reconstruction", (3) I did not comment out the slices code, I just suppressed the output.

From the video it is not clear that only the line magic "%load_ext JupyterChatbook" is needed in order to interact with LLMs. (I.e. "import JupyterChatbook" is not needed.)

Here is the Jupyter Python kernel version: th-cam.com/video/8pv0QRGc7Rw/w-d-xo.html .

From the video it is not clear that only the line magic "%load_ext JupyterChatbook" is needed in order to interact with LLMs. (I.e. "import JupyterChatbook" is not needed.)

Promo SM 💐

Песня про ВСУ😂

Прикольно, на Зелинского смахивает.

ну ни хрена себе)))) вот это бомба))) руссиш швайне)))

Прикольно Я подписался на ваш канал

Well, at 3:22 it was requested to generate 1/Sqrt[x] not "just" Sqrt[x] -- but still the results are good.

Here is the Raku blog post used in one of the code narration examples: raku-musings.com/killing-numbers.html .

Magic! I wanted to do that too, but you beat me to it. And I didn't even think about voice input!

seems nice

In case it is not clear, the generated images are visual puns: - “Racoons” = “Raku practitioners” - “Onion” = “The Perl and Raku Foundation” activities - See the TPF logos and “State of the Onion” speeches - “Pearls” = “Perl language (artifacts)”

ВЫЛИТЫЙ ЗЕЛЬЦ КАК В ВОДУ СМОТРЕЛИ

🤘🐷

А что росстат ещё не запретил этот ролик!?))))

Hmm... GTA lV 😎

ƤＲＯ𝓂Ｏ𝕤ᗰ

Here is a related video: th-cam.com/video/Htmiu3ZI05w/w-d-xo.html

Here is a related video: th-cam.com/video/39ekokgnoqE/w-d-xo.html

very nice work!

@Anton Antonov - Thank you for the great talk! It was most informative. However, I am also interested in the Mind Map shown at th-cam.com/video/efRHfjYebs4/w-d-xo.html. What software is this and could you provide sample code to generate something similar to what is being displayed? Thanks!

Ｐｒⓞм𝕠𝕤𝐌 🙈

Subscribed, this remix is greater than any other I've found this week. I like this

omgg this is so beautiful!!🥺 SO MUCH BETTER THAN MY MUSIC ON MY CHANNEL!!💜 got a new fan and a subscriber!!! keep it up >.<

I am rewatching some of your videos and I am still excited. Thank you.

I really appreciate this video. Thank you!