First the hard facts. In 2022, Google’s key revenue driver since 2004 ad was down, according to media reports. The trend continued in Q1 of 2023, but the Q2 results reversed it showing an increase in ad revenues.

First and foremost, let’s clarify that an elliptical curve isn’t precisely an ellipse. The most prominent and widely discussed application of elliptical curves resides in the realm of cryptocurrency, powered by blockchain technology.

Lexport and pradhi.ai explore these challenges in this article, shedding light on the intersection of AI and the law.
In the last couple of years, Large Language Models (LLMs) and Generative AI have emerged as transformative technologies that can disrupt our future.

The allure of quantum computing is undeniable, but its inner workings often leave us with more questions than answers. I find solace in the wisdom of Calvin from “Calvin & Hobbes,” who once said, “If something is so complicated that you can’t explain it in 10 seconds, then it’s probably not worth knowing anyway.”

The term unicorn in the context of start-ups was first used by Aileen Lee in a 2013 TechCrunch article- Welcome to the unicorn club: Learning from billion-dollar start-ups. It’s a dream of every start up founder to join the club. Investors love these words. The media latches on to them. In super quick time, start-ups are catapulted into stratosphere with billion-dollar valuation. A unicorn is created.

Unveiling the World of Large Language Models (LLMs): ChatGPT, Gemini by Google, Llama 2 by Meta, and More
The roster of Large Language Models (LLMs) keeps growing, with names like ChatGPT, Google’s Gemini, Meta’s Llama 2, and Mistral 7B from Mistral, to name just a few.