As Large Language Models (LLMs) continue to evolve and become integral to various applications, preserving data privacy remains a crucial concern. Below are fundamental principles and best practices for maintaining data privacy in LLMs.

Data privacy under GDPR is crucial in today's digital age. With increasing data breaches, understanding and protecting personal information is vital. The General Data Protection Regulation (GDPR) plays a significant role in safeguarding personal data and Personally Identifiable Information (PII). GDPR, implemented in 2018, sets strict guidelines on data protection for individuals within the EU.

Unsure which programming language to choose? Well, for a while, I was too! If you are like me, analysis paralysis can be a real pain… We have prepared a list with our top choices so you can stop wasting time and start taking action. Not only we’ll reveal the best language to web scrape, but we’ll also compare their strengths, weaknesses, and use cases, helping you make an informed decision. We won’t waste your time, as we have summarized everything for you.

When it comes to how employees get work done, personal devices are an ever-growing part of the equation. The 2023 Lookout State of Remote Work Security Report found that 92% of remote workers have performed work tasks on their personal mobile devices. While putting security controls on employer-owned devices is a no-brainer, the increasing overlap of personal with professional means that organizations need to think about how to secure employee-owned devices that are being used for work.

The world is just beginning to understand how the intersection of artificial intelligence (AI) and data privacy will impact organizations, their employees, and those who use their services. As of June 2024, there are simply too many unknowns.

The high-profile case of hiQ Labs Inc vs LinkedIn Corporation (that took place in the US) shed light on the much-discussed data scraping legal issues. We know you don’t want to get lost in legalese. So, we have prepared an easy-to-read summary of the most important points of this decision. The court sided with the scraper and established that scraping public data is not a violation of the CFAA (Computer Fraud and Abuse Act).

Of course, everyone wants to dominate the SERPs. It’s a no-brainer! Want to know one of my favorite ways to achieve better rankings? Yup, web scraping! Web scraping is particularly useful for SEO; not only is it very cheap, but it allows you to access hyper-specific data that sometimes is not even visible through SEMRush’s or Ahrefs’ databases. Keep in mind anyone can disallow these two bots (and any bot actually) via their robots.txt.

Web scraping is almost like a super-power, yet it has its own set of problems. If there are challenges affecting your data extraction process… Well, you’re not alone. I’ve been there, and I know you too. In this guide, we will explore the most frequent web scraping problems and how to solve them effectively. From HTML structure issues to anti-scraping measures, you will find out how to address these issues and improve your web scraping skills.

Confused and want to know what in the world web scraping is and how it works? Well you’ve come to the right place because we’re about to lay down everything for you. Before we dive in, I can already tell you the short version: Web scraping is the process of extracting publicly available data from a website. Join us to learn more about the specifics, how it works, and popular libraries that exist.

In this post, we’ll discuss the web scraping best practices, and since I believe many of you are thinking about it, I’ll address the elephant in the room right away. Is it legal? Most likely yes. Scraping sites is generally legal, but within certain reasonable grounds (just keep reading). Also depends on your geographical location, and since I’m not a genie, I don’t know where you’re at, so I can’t say for sure.