kevin-smets

Default

Powerlevel10k

wilon

普通模式

	命令	说明 + 示例
	ds	删除括号
例	ds "	"Hello world!" => Hello world!
	cs	替换括号
例	cs "(	"Hello world!" => (Hello world!)
	cS	替换括号，括号内文本做新一行
例	cS "{	"Hello world!" => {     Hello world! }

streslab

Headless Ethereum Miner Setup - NVIDIA

Reed Slaby, March 2018

Having grown tired of wasting a perfectly good monitor on my ethereum mining rig, I finally decided to replace the Ubuntu Desktop 16.04 installation with Ubuntu Server 16.04. Many of the gtutorials available at the time of this writing range from unecessarily complicated to flat-out wrong. This guide is intended to address many of those shortfalls.

Prerequisites

To complete this guide, you should already have:

• Basic knowledge of Linux
• An Ethereum wallet

moonlockwood

* warning * This is non rigorous and probably wrong

Simplest framework needed to mess around with a BLT

o1 says:

Below is a self-contained, minimal example showing how you might implement and train a very simplified Byte Latent Transformer (BLT)-style model on a single machine with 1-2 GPUs. This is a toy implementation for experimentation and does not replicate the scale or exact performance of the official implementation. It focuses on the main architectural concepts: a local byte encoder, a global latent transformer operating on patches, and a local decoder. The code uses a simple fixed-stride patching scheme and trains on a dummy dataset of random bytes. You can adapt it to use your own dataset and incorporate entropy-based patching later.

What this example does: