To random words you pick and provide a sufficient amount of text to vary with random number without losing its meaning you need a text with high entropy.
4 karma · joined January 21, 2023
To random words you pick and provide a sufficient amount of text to vary with random number without losing its meaning you need a text with high entropy.
This style provides a high entropy basis distribution, so they can from a bigger pool to pick from and phrases to watermark the sentence.
You have much bigger variation of this idiotic phrases and words, which states a simple fact in that sophisticated and twisted manner.
They are. They want to reduce the amount of LLM generated text they feed into their next model training.
Also, how would you watermark a sentence with just 3 words for an example? This exactly why it became so verbose.
I'm curious to hear about your work geometric optics with PyTorch. May I ask you to share some examples of something you are working on right now?
Just in case if you don't want to disclose your name my email is northzen@gmail.com
What do you think about The Prodigy?
Wtf is this argument even about? Knife is advantageous for robbers. Phone calls are advantageous for scammers.
Your existence is advantageous for many malicious agents.
So what?
I haven't seen working communism though and never heard about it.
Diversity is good. People who enforce it for the sake of diversity and build their careers around it are bad and essentially parasitic.
For the sake of example, let's substitute diversity for wealth.
Wealth distributed equally and justly is good. People who feel they must control the distribution of wealth because of the injustice of the world are evil. And their practices are evil. And the actual implementation of those practices only leads to more injustice and evil.
Therefore, I will get what I had the good fortune to come across also outside the Internet:
[1] Lectures on 3D computer vision. Very rich, detailed, mathematically very accurate. The best one I ever saw on the topic
[2], [3] OpenCV documentation, including camera model and estimation of its position, mutual position of cameras
[4] Some good Standford lectures
[1] https://cmp.felk.cvut.cz/cmp/courses/TDV/2022W/lectures/tdv-...
[2] https://docs.opencv.org/4.x/d7/d53/tutorial_py_pose.html
[3] https://docs.opencv.org/4.x/d1/de0/tutorial_py_feature_homog...
[4] https://web.stanford.edu/class/cs231a/course_notes/01-camera...
Latest jobs: 1. Development of low-latency platform for trading. Implementation of kernel bypass TCP/IP stack on top of DPDK + F-Stack + Rust.
2. Implementation of low-latency algorithms for HFT. Rust, WebSockets, gRPC.
Personal projects (you can see links in his resume): RSGC Concurrent garbage collection library for Rust (November 01, 2022 - March 03, 2023) Concurrent GC library written in Rust for Rust. Throughput and latency are comparable to that of HotSpot GCs like G1 or Shenandoah, outperforms .NET and Go garbage collectors.
b3-rs LLVM-like library for code generation A library for code generation based on B3 from WebKit. Supports generating x86_64 and RISC-V machine code out of the box.
It is necessarily to go through sales@mosaic51.com
Here are case studies from our clients: https://www.mosaic51.com/case-studies/ Here is the video from one of our clients: https://www.youtube.com/watch?v=y1rK4N82UEE
Here is the videos and examples on our YT channel: https://www.youtube.com/@mosaic360cameras/videos