Underrated channel, keep making videos and itll eventually blow up

@AIBites

2 ай бұрын

Sure. Thanks for the encouraging words 👍

this is better explained than what the inventor of Lora itself explained in his video.

Amazing video

@AIBites

3 ай бұрын

Glad you think so! 😊

Super in depth and specific, thank you!!!

Thanks for the video! I loved that you added some libraries we can use for this.

@AIBites

5 ай бұрын

do you want me to do more videos on hands-on? Or should I continue on the theory and papers? your inputs will be quite valuable :)

@jacobyoung2045

5 ай бұрын

​@@AIBites Hands on videos will be great too

Good job on the clear explanation of the method and simplification. At 3:40, when you showed the matrix decomposition, the result on the left side does not match the result on the right side. Is this a mistake in the video editing, or is there a point to this? [1 2 3] x [2 20 30[ should be [[2. 4 6], [20 40 60], [30 60 90]]

@AIBites

7 ай бұрын

ah yeah! super spot! I got that wrong while editing. Sorry... 🙂

@ananthvankipuram4012

4 ай бұрын

@@AIBites Yup the Matrix should be [1/2/3] * [ 2 20 1]

@AIBites

4 ай бұрын

Thanks again :)

wow u r great 😄

@AIBites

7 ай бұрын

Thank you! I am chuffed :)

Very Well Explained! If ΔW's dimensions is 10 x 10 , A and B dimensions are 10x2 and 2x10 respectively. So, instead of training 100 params we only train 40 params (10x2 + 2x10). Am I correct ?

@AIBites

4 ай бұрын

yup you got it right. And based on the compute available, we can adjust the rank ranging from say from as low as 2.

@pshivaramakrishna

4 ай бұрын

@@AIBites Thanks for the confirmation.