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GREAT!!!!!

HAPPY NEW YEAR TENSOR FLOW TEAM!!! 2025

I'm trying it on rpi3 but the numpy installation stucks

Top Quality explanation, thanks a Lot , if have more please share

This is beyond the great

Awesoeme explaination

Плохо что на русском языке нет 😢

I can't find a video tutorial that covers how to use tensorflow.js extensively. Including building chatbots

Thanks, Great job I have two questions: do you only keep the two lowest energy states for the qubits to keep superposition of two states ? If yes how do you prevent an aggregate of atoms from going to higher energy states ? If no this means that one bit can be represented by the vector [0,…,1,…,0] (with one on the active energy state the system collapsed to) once measured, could you point some material to know how to build circuits like addition multiplication with such vectors ?

very nice and helpful thank you for that!!! - but could you, please, update to TF 2 ? tks!

I would like to be able to tell Notebooklm look at my other notebooks and tell me...

What is the Raspberry PI (RBP) model used in this example? Would it be the RBP 3B, RBP 3B+, RBP 4, RBP 5?

Thank you so much

IS THERE AN AI PRODUCT \ TOOL WE CAN USE IN THE OPEN MARKET ?

im sorry im so late to class i thought AI was going to be the limit this is the new limit i was here 5 years ago for things like the draw shape game me and my kids loved

This isn't good! The link to the GitHub keeps switching to Spanish! Why? I have set all my preferences to only English.

Code in Google Developers Codelabs: Build convolutions and perform pooling.

Hi

Where are the CSV files?

For more information, head over to the People of AI podcast episode, “Digital health with Dr. Oliver Aalami.”

Great insights into the research and application of AI in healthcare. The future looks bright.

Thanks from Cameroon

fixed version of json code import json with open("Sarcasm_Headlines_Dataset.json") as dataset: data = [json.loads(line) for line in dataset] scentenses = [] labels = [] urls = [] for item in data: scentenses.append(item['headline']) labels.append(item['is_sarcastic']) urls.append(item['article_link']) # make sure the filename is correct

Correction: At 14:37, there is no C4 in GPU-1. It should be C2.

Watch more People of AI → goo.gle/PAI

Thank you for NotebookLM! Now you serve poeple with written summaries and audio guide. By when do you add visual notetaking features? As visual beeings, humans can take more information in visual form. What would be a better way to explain connections between topics than on the visual way?

This is an incredible KZbin interview from the creators of Notebook LM about notebook LM. I am feeding this KZbin video into notebook LM and turned it into a 14-minute podcast! You can't get more meta than that 😉

Nice explanation 👌

Discord currently has over 103,000 members. Great video.

Great conversation, really enjoyed it, thanks! 👍

Wow, this video was amazing! 🌟 I really loved how you explained the concepts clearly and made everything so easy to understand. Your enthusiasm is contagious! Looking forward to more content like this. Keep up the great work! 👍😊

esqueceram de colocar a legenda para portugues ? nem de portugal e nem do brasil tem ai.

What a warm and inspiring interview. So glad you showed up on my feed ❤

Thank you so much for this amazing video! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How should I go about transferring them to Binance?

The video is very interesting! Something I don't understand: I have USDT in my OKX wallet and I have the recovery phrase. pride pole obtain together second when future mask review nature potato bulb: How should I convert them into Bitcoin?

Thanks for sharing! Just a quick off-topic question: I have USDT in my OKX wallet and I have the recovery phrase. [pride]-[pole]-[obtain]-[together]-[second]-[when]-[future]-[mask]-[review]-[nature]-[potato]-[bulb]. What is the best way to transfer them to Binance?

So Gemini 2.0 is due for second week in December. Will NotebookLM be updated then?

I love this app more than Jensen Huang lol. Praying every day for the next upgrade to be a selection of voices / persona control as I have British English audience who are put off by the valley girl vibe of the initial release 🤞

ครับ

Please add folder and categories to organise the notebooks Thank you for the good product

Вау! Спасибо! Стало ещё более непонятней! Благодарю от всей истерзанной души вашим колабэ

I bet they secretly use pytorch =P

Notebook llm is nice product I am using it for all my work great job keep it up I was looking for hindi podcast can u pls rollout this feature quickly...

Pouco informativo. Não apelou á minha atenção. Façam mais e melhor. Vídeo que não voltarei a vêr, espero que cheguem ao calcanhar do sucesso.

Inspiring interview. Enjoyed hearing Steven and Raiza's backstory. I had been curious about how NotebookLM had started. I'm looking forward to more amazing innovations coming out of your lab. Now get back to work.

Comment #1

null hypothesis NOT rejected

where to find the tron like hand example shown in the start of the video?

Thanks for the valuable interview!