Cool Guy !

Melvis in-depth plz and thanks

the commends i can't run it on windows can you do one video for windows users or say what are the windows commends for this brew install portaudio pip install "assemblyai[extras]" pip install elevenlabs==0.3.0b0 brew install mpv pip install --upgrade openai '''

git repo is missing 💔

Is it a open source model ?

.

Yaaa we need comparision please...

Excellent. Please share the link of video on how to actually clone my own voice.

Stellar video. Thanks.

perfecto

Is it possible to create a map of related words with different relationships between them automatically in Python?

how is it possible to implement a rag with rivet?

This short saved me while making my Anki deck with python, you just prevented a calamity

I really enjoyed watching this video

Great video! Very informative

Well explained, keep it up!

Well explained, keep it up!

Good job, mate, that was a great spin thru.

Yeah but it doesn't actually check the time or book anything?

why it automatically stopped

WC GERBONG PT INKA

10 EURO BILLION : WEDDING

GENETIC YESUS

WC GERBONG KERETA API PT INKA IGNASIUS JONAN PT KAI

DEEP LEARNING : ALLOH YESUS DEEP LEARNING : WUDEL YESUS DEEP LEARNING : FESES & URINE YESUS INSPIRASI : WC GERBONG KERETA API ANAK KETURUNAN GEN MUHAMMAD

ALLOH YESUS

WUDEL YESUS

TOILET GERBONG KERETA API

Please explain decision tree for prediction of Big and small

amazing prep for exam

This beautiful video is always my reference and I keep returning everytime I need it.

Pretty much every Neural network tutorial: “Ight guys, here is how to create a neural network in python! First off, install the obscure 1993 version of python off of this sketchy website as it’s the only way it could work without destroying system32. Step 2: When you install it in the terminal it’s gonna ask if you want to delete system32 to install it, remember when installing the keys are reverse so no is yes, yes is no. Do that for 98 times and it will finally start downloading. Step 3: After 48 hours go onto python and input code (link in description) and the neural network is pretty much finished so you can pretty much just replace some of the words with poop jokes and whatnot. And there you go, you made a chatbot :)”

amazing video. thanks AssemblyAI and Patrick! !

Hey thanks for the info! This is crazy cool. I'm brand new to all of this, I found this because I'm looking to run a LLM locally and have fluid TTS convos while watching a YT video for example, or listening to a podcast and discussing it live together. Is this possible yet with low latency? I'm chatting with GPT about it and they say yeah, but I'd like to ask you, is doing a multi-modal split possible where they can contextually process audio and video from a cpu source while recognizing my voice separately and carrying out a fairly complex convo? I'm running a 4080 mobile card which i guess can run up to 13bP well, but I'm eyeing the new 5080 too. Although it can't handle a lot more parameters, I'm wondering if the latency differences due to the architecture will be drastically better. Hope this makes sense!

# Gradients d_w = (2 / n_samples) * np.dot(X.T, (y_pred - y)) d_b = (2 / n_samples) * np.sum(y_pred - y)

Great explanation! I have a pdf with text and tables only can I use a ollama with llama 3.2 as my LLM to run this process locally?

No one can explain better than this

Is Mojo still popular? Are there still many programmers learning it?

Cursor!

My guy came through with knowledge and resources! One word - GOAT!

why whenever i press 0.0.0.0:80 , after a successful 'docker run -p 80:80 language-detection-app', 'It looks like the webpage at 0.0.0.0/ might be having issues, or it may have moved permanently to a new web address.' this is always return from the browser?

Seo with AI was good too

great video! to the point and clearly explained

Amazing explanation

Please remove BGM , it's frustrating as hell

Thank you very much for this video! Your explanation is excellent, and the quality is outstanding!

Thank you, very informative. First time contributing can be scary! 🤓

Thank you! This is great stuff. Love the simplicity.

i understood nothing. just throwing some words at us.

Wow, this video makes vector databases so easy to understand! Thanks for breaking it down so clearly-really appreciated! Keep up the great work!