Yu Chang Cheng’s Post

TIL ls -l shows you the number of links to a file. Neat.

AP Precalculus | Topic 2.12B | Logarithmic Function Manipulation | Walkthrough Examples. https://lnkd.in/gqU65THZ

Discreate Diffusion replacing Auto Regression enabling Logical Reasoning in LLMs

How to Access or Load Existing Disk Image or File Extraction Tasks Quickly https://lnkd.in/gkGYR8Bx

Computer Vision 3: In this post we will see how to change the filters by different methods like through manual 3x3 array, Using cv2 and using ImageFilters from PIL library

In principle, there are two important parameters to the KNeighbours classifier : the number of neighbors and how you measure the distance between the data points. In practice, using a small number of neighbors like three or five often works well. One of the strengths of the knn is that the model is very easy to understand and gives reasonable performance without a lot of adjustments. Using this algorithm is a good baseline method to try before considering more advanced techniques.

May 12, 1939 The Mark I was the first successful fully automatic machine and computed three additions or subtractions a second; its memory stored 72 numbers of 23 digits (plus sign). #timelesstales #worldofhistory #worldofcomputers #computerhistory #intrestingfacts #generalknowledge #computerscience

#KB-VULN: 4 FINAL About Release Back to the Top Name: KB-VULN: 4 FINAL Date release: 24 Jan 2021 Author: MachineBoy Series: KB-VULN #https://lnkd.in/dPpvXyMF #Description Back to the Top This machine is the kind that will measure your level in both research and exploit development. It includes 2 flags:user.txt and root.txt.

Created a small repository that contains notebooks that guide you through the process of quantizing diffusion models. After you quantize them, run inference on a free tier colab notebook. The two notebooks (currently) show how to do the process for: 1. Stable Diffusion 3 (can also work for the 3.5 variant) Text to Image Generation. 2. CogVideoX Text to Video generation. Repository link in the comments.