Alexwi1son

Method 1: Download the Youtube Video (Command Line)

1. Go to Search (Magnifying Glass) on the top right hand side.
2. Type Terminal
3. Open up Terminal

./youtube-dl https://www.youtube.com/watch?v=o-TAyIQBOuA --recode-video mp4

This will be saved on the sundayservices home directory.

Alexwi1son

from pytube import YouTube

url = "https://www.youtube.com/watch?v=hS9jaTweuPU"
video = YouTube(url)
stream = video.streams.get_highest_resolution()

stream.download(output_path = '.')

Alexwi1son

Trying to understand the technical breakthroughs in Deep Seek, particularly the pre-training efficiency.

Perplexity thread highlights:

The pre-training efficiency of DeepSeek-V3 is attributed to several key innovations:

1. FP8 Mixed Precision Framework: This reduces GPU memory usage and accelerates computation during training[5].
2. DualPipe Algorithm: It optimizes pipeline parallelism by overlapping computation and communication, minimizing idle time and scaling efficiently across nodes[5].
3. Multi-Token Prediction (MTP): This densifies training signals, improving data efficiency and model performance[3].
4. Efficient Mixture-of-Experts (MoE) Architecture: Only a subset of parameters is activated per token, reducing computational overhead while maintaining performance[2][3].