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@VinayKumar-xo5jy 13 сағат бұрын

Thank you Madam 🙂

@viswanathanr1867 Күн бұрын

Very good English and excellent teaching

@StoryCraft274 2 күн бұрын

You are beautiful 🤣

@AmarAmar-q8s 2 күн бұрын

Thanks for these videos!

@Thimmampallisunil-o8n 3 күн бұрын

superbbbb mam .there is no words describe mam .

@colinmaharaj 3 күн бұрын

Ok, so this is really good, that means, I will subscribe to this, and unsubscribe to at least 3 channels that has less value.

@GalaxyHomeA9 3 күн бұрын

Next time try c language to make a ANN from scratch that would be a nice excercise.

@johnobidi2616 3 күн бұрын

Another excellent lady in the lecture hall. Great India!

@ProsperPasvani 3 күн бұрын

Nice ma'am

@sharma7889 4 күн бұрын

Thank you so much madam

@faithforward 4 күн бұрын

Very nicely explained

@Ashajyothi23 4 күн бұрын

Thank you

@faizahmed007 5 күн бұрын

Please provide repo Link.

@janardhanyadav3605 5 күн бұрын

When will the RNN lecture be released?

@Ashajyothi23 4 күн бұрын

Very soon

@johnobidi2616 6 күн бұрын

This lady is simply excellent!

@Ashajyothi23 6 күн бұрын

Thank you

@AANMAN2008 7 күн бұрын

super analogy and well prepared teacher!

@Ashajyothi23 6 күн бұрын

Thank you

@RaghuG 7 күн бұрын

thank you

@Ashajyothi23 4 күн бұрын

Thank you

@FlynRider142 8 күн бұрын

What was that error mam??

@nagarjunan2004 12 күн бұрын

code files or git repo?

@garigeramsusheel3090 16 күн бұрын

This mam is very knowledgeable guys please listen carefully .......😊

@Ashajyothi23 9 күн бұрын

Thank you.😊

@rakeshpatil5762 17 күн бұрын

Thanks Dr. Aruna for the explanation. One suggestion, you can try using disappearing lines while explaining the code to temporarily highlight the code that you are explaining, instead of cluttering the entire page with un-necessary lines.

@Wafiqathegirl 19 күн бұрын

Good knowledge depth!

@vijayv6498 20 күн бұрын

Happy to see you sir. It’s been 17 years.

@vanip2866 21 күн бұрын

Can you pls share the GitHub repo for the code notebook.thanks

@kkb92-96x 21 күн бұрын

Not sure who his audiences are. Seems like he don't have any confidence of them understanding what he is presenting. Frankly, this was very well explained. He points out the subtleties of what is happening in the agentic application. A good primer on agentic application development using Langchain. Hope the code can be shared. Thanks

@ShashikiranVangala 22 күн бұрын

There is no explanation, just reading the slides in the video!

@abhijitbhattacharya2625 23 күн бұрын

Very good teacher. No AI can ever replace a good teacher.

@viswanathanr1867 23 күн бұрын

Very nice explanation Sir. Can you please share the jupyter notebooks too? So that we can try the assignment

@utkarshdubey4983 23 күн бұрын

What an informative video 👏 👏 👏

@Ashajyothi23 9 күн бұрын

Thank you

@gadgets.cracker 23 күн бұрын

Thanks 😊

@sayeedkhan2026 23 күн бұрын

Excellent explanation 👍

@sayeedkhan2026 23 күн бұрын

Good explanation

@venkateshvenky7668 25 күн бұрын

hahaha explanning zero to mastry pytorch progame

@vanarse17 25 күн бұрын

Hmmm.... I wonder if its right to say that adding layers improves model performance unless of course the complexity in the task/data demands to. I often find that a data deep dive or understanding the data is an essential step that is ignored to really determine how to improve model performance.

@Ashajyothi23 9 күн бұрын

You're absolutely right! Adding layers can sometimes improve model performance, but only when the task or data complexity justifies it. Blindly increasing model depth without understanding the data can lead to overfitting or inefficiencies. A deep dive into the data is indeed crucial understanding its nuances, distributions, and inherent patterns often reveals simpler or more targeted ways to enhance performance ...all this was explained in the next sessions...

@yogonweb 29 күн бұрын

We are fortunate to come across this session on Transformer by Neil sir. Looking forward for more sessions from Neil sir.

@srinup5801 Ай бұрын

Mam more disturbance while recording

@mahajanravish Ай бұрын

May you please provide the link to that article?

@yothismyhub Ай бұрын

Great lecture! The only thing I would like to add is that the Transformer LLM architecture being discussed here is decoder only architecture and not encoder. As per Jay Alammar's book Hands-On Large Language Models which is the book being used here as a reference, any pink blocks with a chat symbol at the top right corner represents Decoder-only models.

@MarionKia Ай бұрын

Thanks for the forecast! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?

@protyaybanerjee5051 Ай бұрын

As a professor, you can do a lot of rosy things other than training a transformer

@shambhuthakur5562 Ай бұрын

I am really impressed the way professor teaches, the depth of understanding he has on topics he isteaching as well as the simple way to convey difficult topics to make people understand is awesome. Is there a way I can get his contact or any course where he has taught this end to end.