Articles on Artificial Intelligence

This issue isn’t just a technical glitch; it has real-world consequences, as seen in legal cases where fabricated citations led to severe repercussions. As more people rely on these technologies for critical decision-making, understanding the roots of these hallucinations becomes essential. Join us as we explore the inner workings of Large Language Models, uncover the causes of their fabrications, and learn how to navigate this complex landscape safely and effectively.

Picture this: it’s a Monday morning. You’ve just poured your first cup of tea—or coffee, I’m not a monster, I’ll allow it—and you’re settling in for the week. Your company, a plucky e-commerce startup selling artisanal, hand-knitted cozies for pet rocks, recently launched a shiny new AI customer service chatbot named “Rocky.” It’s supposed to be a triumph of efficiency, a digital concierge ready to answer questions about shipping, materials, and whether a pet rock truly needs a winter wardrobe. (The answer, obviously, is yes.)

Today, our tech spotlight falls on Bing AI, a trailblazing product of Microsoft’s genius that’s shaking the foundation of the search engine industry (and yes, I never thought I would write this sentence about Bing in my lifetime, but here we are). So, if you’ve been wondering what the future holds for search, it’s time to put on your explorer’s hat and join me in unraveling the complexities and the opportunities that Bing AI presents. Just before we set sail, let’s take a moment to understand the significance of this technological evolution.

Let’s talk biases. You have them, I have them. These biases are deeply engrained within us (whether we like it or not) and they shape our perceptions, beliefs, and behaviors, influencing everything from the way we interact with others to the decisions we make. And guess what? They don’t just stop there. These biases have a ripple effect, shaping our social structures, institutions, and ultimately, the future of our species. More recently, we have been forced to face these biases ending up in places we didn’t expect, from our phones, to search engines, and even to the tech we use to communicate with each other. Today, I want to take you on an adventure into the world of artificial intelligence (AI) – more specifically, the biases that we bake into AI. Now, before you roll your eyes and think, “Isn’t this stuff for software developers or data scientists?” let me assure you, it impacts all of us, whether we’re aware of it or not.

Its pretty hard to go about your day with hearing about Chat GPT. If you were to believe the news media, it would be reasonable to assume that our educational system was on the edge of complete destruction, and the humans are in their final age of domination. But before you resign to the fact that the robots will take over and robots will own the guineapig garment market or specialized tea for Furbies market for you (as fleshy meat sack), let’s get to know that all this GTP stuff is actually about.