- Operating System: Debian GNU/Linux 12 (bookworm)
- Kernel: Linux 6.1.64-09049-g010fe86d9eae
- Architecture: x86-64
- Podman: v1.7.1
1. Install Podman:
sudo apt install podman
Не обязательно становиться рок-звездой для того, чтобы зарабатывать много денег и быть популярным. Новые рок-звёзды — программисты. Ниже вы найдёте более сотни инструментов, которые облегчат работу разработчику. | |
Оригинальный пост был опубликован на портале DailyTekk. И хотя появился он достаточно давно, список по-прежнему актуален. Инструменты разделены на разные категории: платформы для разработки, обучение программированию, багтрекинг, API и прочее. Не все инструменты бесплатные, но за удобство и новые функции приходится платить. Надеемся, вы найдёте что-то полезное для себя. | |
Обучение программированию | |
Treehouse — обучение дизайну и разработке для веб и iOS. | |
Codeacademy — интерактивный и весёлый способ научиться программированию. | |
Code School — практические курсы для веб-разработчиков. | |
Udacity — обучение посредством решения практических задач от известных преподавателей. | |
Coursera — множество компьютерных курсов, причём бесплатных. | |
RubyMonk — интерактивные курсы по Ruby. | |
Khan Academy — бесплатное образование с |
An Automatic Legal Document Summarization and Search Using Hybrid System
Abstract:
In this paper we propose a hybrid system for automatic text summarization and automatic search task related to legal documents in the legal domain. Manual summarization requires much human effort and time. For this reason automatic text summarization is introduced which saves the legal expert time. The summarization task involves the identification of rhetorical roles presenting the sentences of a legal judgement document. The search task involves the identification of related past cases as per the given legal query. For these two tasks we have introduced hybrid system which is the combination of different techniques. The techniques involved in our hybrid system are keyword or key phrase matching technique and case based technique. We have implemented and tested and required results are produced.
([Free PDF from author's website](http://www.cse
from langchain_openai import ChatOpenAI | |
from langchain_core.prompts import ChatPromptTemplate | |
from langchain_core.pydantic_v1 import BaseModel, Field | |
import json,urllib.request,websockets,asyncio | |
from typing import TypedDict, List | |
import textwrap,html | |
from bs4 import BeautifulSoup, Tag, NavigableString,Comment | |
import os | |
from dotenv import load_dotenv,find_dotenv | |
load_dotenv(find_dotenv()) |
Testing Jenkins flows on your local machine, or running Jenkins in production in a docker container can be a little tricky with a docker-in-docker scenario. You could install Jenkins to avoid any docker-in-docker issues, but then you have Jenkins on your machine, and the local environment is likely going to be a fairly different from the actual production build servers, which can lead to annoying and time-consuming issues to debug.
Build environment differences are precisely why there is a strong argument to be made to run build processes strictly in docker containers. If we follow the philosophy that every build step or action should run in a docker container, even the Jenkins server itself, then we get massive benefits from things like, total control over the build environment, easily modify the build environment without the possibility of adversely effecting other jobs, explicit and strongly controlled tool versions,
Originally posted at http://pastebin.com/BjD84BQ3
Trigger warning: mention of suicidal ideation
tl;dr: I burned out as a developer at Amazon at the end of my second year. I’ve since found a healthy and sustainable work-life balance and enjoy work again. I write this to A) raise awareness, especially for new-hires and their families, and B) help give hope and advice to people going through the same at Amazon or other companies.
There’s been no shortage of anecdotes, opinions, and rebuttals regarding Amazon’s corporate culture as of late. I write this not to capitalize on the latest news-feed fad, but to share what I had already written and promptly deleted. I didn’t think anyone would want to hear my story, but it’s apparent people are going through a similar experience and don’t have a voice.
I’m a Software Development Engineer II at Amazon; SDE II basically means a software developer with at least 2–3 years of industry experience. I started at Amazon as an SDE I.
#This script helps generate unicode which is essentially hidden or "invisible" but is easily read by LLM's especially those that do not rely on a UI or Prescreening of prompts via API submission. | |
#This wont be published until someone else discovers it as its too "valuable" to threat actors to publish given currently available mitigations. | |
# V1.0: TLP RED! Do Not Distribute! Category: Hidden Injection Prompt! - 09/2023 - ShadowOpz | |
# V2.0: TLP RED! Feature update: Added invisible clipboard functionality. | |
# V3.0: Public Disclosure from Twitter discovered. Notes below. | |
# V3.0 Notes: Released to public Gist 01/12/2024 after public disclosure from Twitter. | |
# Kudos to @rezo_ and @goodside for the discovery and their pyperclip version. | |
Logging functionality that supports:
std.fmt
formatting magic/** | |
* VIN decoder. | |
* | |
* kevinboutin on 3/11/18. | |
* | |
* My VIN for testing is WBA3A5G59DNP26082 so use the following command to invoke: | |
* node vindecoder WBA3A5G59DNP26082 | |
* | |
* Examples: | |
* KM8JM12D56U303366 |