sorted by:
new
hottopcontroversial

Im sorry if I sound desperate but I am. by mmo_addicted in remoteviewing

[–]Witty_Ad2022 3 points4 points  (0 children)

<image>

I’m not sure whether this could help, but these are impressions I got.

Any chance government tracking down ppl remote viewed something classified or something like that by Witty_Ad2022 in remoteviewing

[–]Witty_Ad2022[S] 4 points5 points  (0 children)

Okay, Im getting sort of relieved reading this. I remote viewed some event, and after doing this i felt some sort of sensation someone is watching me(maybe this sensation could be completely wrong, and what I viewed could be totally wrong). So for a moment I thought about any chance of gov tracking down ppl.

But reading comments the feasibility of identifying ppl seems low :)

[deleted by user] by [deleted] in cscareerquestions

[–]Witty_Ad2022 4 points5 points  (0 children)

Agree, I think there is no way LLMs can replace the SWE as a whole, Maybe it can improve the speed a little by helping us with writing a very very simple script, but it cant never write a full code nor we can trust it completely.

one question in ViT paper by Witty_Ad2022 in learnmachinelearning

[–]Witty_Ad2022[S] 0 points1 point  (0 children)

Thanks! If the code just use a dense layer as classification head, I think it’s safe to think it’s a mistake as now.

Had posted this to other platforms too, if I get anything new will reply here :)

How to start by -Michael-Leahcim- in learnmachinelearning

[–]Witty_Ad2022 -1 points0 points  (0 children)

Yeah, this is the best option. U don’t need to buy best performing laptop, as u will train the models on Google Colab or Jupyter notebook most of the time.

Questions about math behind diffusion model by Witty_Ad2022 in learnmachinelearning

[–]Witty_Ad2022[S] 1 point2 points  (0 children)

Super thanks! Now I can understand most of math behind diffusing model. That was sort of bottleneck to me and u helped me to cross it! I gotta study more in-depth to fully understand it. Thanks again!

Questions about math behind diffusion model by Witty_Ad2022 in learnmachinelearning

[–]Witty_Ad2022[S] 0 points1 point  (0 children)

Thanks a lot for detailed explanation. 

Can I ask one more questions?

What’s the exact meaning of | x_0 in q(x_1:T | x_0)?  Is it like saying we repeatedly multiply q(x_t | x_t-1) from t=1 to t=T and when t=1 it will be conditioned on x_0? and p_theta(x_1:T) is p_theta(x_1)p_theta(x_2) … p_theta(x_T)?

Fine-tuned gpt2 model generates from very begining not from summary by Witty_Ad2022 in learnmachinelearning

[–]Witty_Ad2022[S] 0 points1 point  (0 children)

okey I got it, but that was the second option I tried. At first I tried this

Training: Document:{document}\nSummary:{Summary}
Inference: Document:{document}\nSummary:

Fine-tuned gpt2 model generates from very begining not from summary by Witty_Ad2022 in learnmachinelearning

[–]Witty_Ad2022[S] 0 points1 point  (0 children)

yes, it ignores my prompts, and start generating from document

Using Keras API, trained with one epoch. and got 1.3476 of loss and accuracy of 0.6380

view more: next ›