iac icsaas

## blog.md

      
              4 files
            
          
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                Hellisotherpeople
                / blog.md
            
            
              Last active
              July 23, 2024 12:38
            
              
                You probably don't know how to do Prompt Engineering, let me educate you. 
              
          
    You probably don't know how to do Prompt Engineering

(This post could also be titled "Features missing from most LLM front-ends that should exist")

Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".
Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.
Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system

  
## BitcoinHashRandom.ipynb

      
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                icsaas
                / BitcoinHashRandom.ipynb
            
            
              Created
              February 10, 2022 13:42
                — forked from Seele0oO/BitcoinHashRandom.ipynb
            
              
                TrueRandom.ipynb
              
          
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## index.html
<!DOCTYPE html>
<html lang="zh-cn">
  <head>
    <meta charset="UTF-8" />
    <meta http-equiv="X-UA-Compatible" content="IE=edge" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>多线程下载示例</title>
    <script src="multi-thread-download.js"></script>
  </head>
  <body>

## Useful Links on Tech
------------------------------
VSCode
https://realpython.com/python-development-visual-studio-code/
https://flaviocopes.com/vscode/
https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.vscode-remote-extensionpack - DONE
------------------------------
RPN notes

https://medium.com/@jonathan_hui/understanding-region-based-fully-convolutional-networks-r-fcn-for-object-detection-828316f07c99 - DONE
https://medium.com/@jonathan_hui/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9 - DONE

## GitLab-CE on Windows 10
$ docker create --name gitlab-data --volume /d/docker/gitlab:/etc/gitlab gitlab/gitlab-ce:latest

# Make sure Bridging is set on the VM in VirtualBox

$ docker run --publish 8080:80 --publish 2222:22 --publish 4443:443 --name gitlab --restart always --volumes-from gitlab-data gitlab/gitlab-ce:latest


Using docker 1.13.1

## web_skill_list.md

      
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                lenciel
                / web_skill_list.md
            
            
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              March 5, 2018 03:19
            
          
    基础知识


计算机软硬件基础
计算机网络
操作系统
数据结构和算法
设计模式
以及其他各种你应该懂的东西

前端开发


前端标准/规范


## Evolution of a Python programmer.py
#Newbie programmer
def factorial(x):
    if x == 0:
        return 1
    else:
        return x * factorial(x - 1)
print factorial(6)


#First year programmer, studied Pascal

## anonymous
HEDGE = node riphedge

all:
	npm install ripple-lib

hedge:
	-while date; do \
		$(HEDGE); \
		sleep 100; \
	done

## pool_futures.py
def hard_work(n):
    """ A naive factorization method. Take integer 'n', return list of
        factors.
    """
    # Do some CPU bond work here
    if n < 2:
        return []
    factors = []
    p = 2

## :using-celery-right-now-and-more-best-practices-1.html
This gist is for my post: http://www.andretw.com/2013/07/using-celery-right-now-and-more-best-practices-1.html
	<!DOCTYPE html>
	<html lang="zh-cn">
	<head>
	<meta charset="UTF-8" />
	<meta http-equiv="X-UA-Compatible" content="IE=edge" />
	<meta name="viewport" content="width=device-width, initial-scale=1.0" />
	<title>多线程下载示例</title>
	<script src="multi-thread-download.js"></script>
	</head>
	<body>
	------------------------------
	VSCode
	https://realpython.com/python-development-visual-studio-code/
	https://flaviocopes.com/vscode/
	https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.vscode-remote-extensionpack - DONE
	------------------------------
	RPN notes

	https://medium.com/@jonathan_hui/understanding-region-based-fully-convolutional-networks-r-fcn-for-object-detection-828316f07c99 - DONE
	https://medium.com/@jonathan_hui/what-do-we-learn-from-region-based-object-detectors-faster-r-cnn-r-fcn-fpn-7e354377a7c9 - DONE
	$ docker create --name gitlab-data --volume /d/docker/gitlab:/etc/gitlab gitlab/gitlab-ce:latest

	# Make sure Bridging is set on the VM in VirtualBox

	$ docker run --publish 8080:80 --publish 2222:22 --publish 4443:443 --name gitlab --restart always --volumes-from gitlab-data gitlab/gitlab-ce:latest



	Using docker 1.13.1
	#Newbie programmer
	def factorial(x):
	if x == 0:
	return 1
	else:
	return x * factorial(x - 1)
	print factorial(6)


	#First year programmer, studied Pascal
	HEDGE = node riphedge

	all:
	npm install ripple-lib

	hedge:
	-while date; do \
	$(HEDGE); \
	sleep 100; \
	done
	def hard_work(n):
	""" A naive factorization method. Take integer 'n', return list of
	factors.
	"""
	# Do some CPU bond work here
	if n < 2:
	return []
	factors = []
	p = 2