Thank you for explaining papers related to time-series. Would love to see your videos more on time series!!

@CodeEmporium

Ай бұрын

Coming up soon

As always, great video, looking forward to next video on the code...

This is interesting. Eagerly looking forward to next episodes ❤

It is a subject I have been waiting for. Super, sir! Finally, you directed us to it.

@CodeEmporium

Ай бұрын

Yep!

Good video! Well explained. In real life though a particular time series will correlate with itself and depend on other time series. Any way to take this into account to improve predictions?

Beautiful ! I think the answers are: D, B, D And I'll do more research cuz I don't understand how the network is able to adjust the output according to the input Thank you sir

@CodeEmporium

Ай бұрын

Ding ding ding. You got full points in quiz time! And yea ~ glad this sparked more curiosity in you for further research

@kkdavuluri1

Ай бұрын

@@CodeEmporium Got only one correct. The last one learning and computational complexity :)

The video I was just looking for

@CodeEmporium

Ай бұрын

Super glad! Thanks for watching

❤

Would historical nutritional data count?

so it means it makes the process faster by prob sparse attention , distillation and generative inference but does it improve the accuracy also ?

@CodeEmporium

Ай бұрын

According to the “experiments” section of the paper, it certainly looks like this architecture has the best performance compared to some models (including different transformer architectures)

studies, fitness, trading

Ok. It's all interesting. But how can I use it when time-series data are received in real-time? I can not batch process, only one by one. I tried to make some kind of buffering to collect several items and then process them all together. But I didn't succeed in this, because I couldn't incorporate it in common libraries used for neural networks

@CodeEmporium

Ай бұрын

during real time inference, the model will typically be deployed as a part of a service. we get a request, pass this as a "batch size 1", get an output, and return the response.

How can someone get in Touch with you ?

Can you please blow up the Llama/Llama 2 architecture and code for us? Eagerly waiting for your LLM videos.

@CodeEmporium

Ай бұрын

Yep! That’s definitely a future playlist idea

@hackie321

Ай бұрын

@@CodeEmporium Awesome. Thanks

I am just thinking about it you just made it..hope you are not reading my mind😄

@CodeEmporium

Ай бұрын

I just might be :)

Honestly I can't think of any context where I use historical data to inform my decisions other than financial.

@CodeEmporium

Ай бұрын

Yea. Finance does seem like the bigger and obvious one to me too

Answer: D ?

@CodeEmporium

Ай бұрын

For quiz 1, yes - it was all of them :)

Provide answers to your quizzes at the end. It's really irritating to see questions unanswered. How would someone verify it. Also, please stop saying "Quiz time"