Skip to main content

Happy New Year 2024! - Prime Finder

As the clock strikes midnight and we usher in a brand new year, it's a time to reflect on the moments that defined us and to look forward with hope to the opportunities that lie ahead.

This past year has been a journey, one filled with challenges and triumphs, laughter and tears, and most importantly, growth. We've navigated through the ups and downs together, and it's these shared experiences that have brought us closer and made our bonds stronger.

As we step into 2024, let's carry with us the lessons learned and the joyful memories. Let's embrace the new year with an open heart and an open mind, ready to write new chapters in our lives. Whether your goals are big or small, may this year be the one where you take that first step towards achieving them.

Here's to a year of good health, happiness, and prosperity. May your days be filled with peace, love, and joy. Let's make 2024 a year to remember, filled with new adventures and successes.

Happy New Year from our family to yours! Let's make it an incredible year!

Siavash Delkhosh - CEO



🌟 Cheers to 2024! 🌟

Comments

Post a Comment

Popular Posts

Kimbal Musk: Mini Biography

Kimbal Musk, often recognized as the younger brother of Elon Musk, has carved out his own significant path focusing on the intersection of technology, sustainable food systems, and community building. Unlike his forays into the digital and aerospace domains, Kimbal's mission centers around revolutionizing the way we grow, distribute, and consume food, aiming to create a more sustainable and healthy world. Introduction Kimbal Musk's journey from South Africa to Silicon Valley reads like a blueprint for innovation and resilience. Born on September 20, 1972, in Pretoria, South Africa, Kimbal pursued his education in business at Queen's University in Canada. This foundational period not only shaped his entrepreneurial mindset but also introduced him to the world of technology and startups. Early Career and Entrepreneurial Ventures The inception of Zip2 Corporation, co-founded with Elon Musk, marked Kimbal’s entry into the tech industry, providing a business directory and mapp...
Post a Comment
Read more

Sam Altman : Mini Biography

Introduction Sam Altman's journey in the realm of entrepreneurship and technology is nothing short of inspirational. With a career that spans across founding startups, spearheading one of the most influential accelerator programs globally, and leading groundbreaking efforts in artificial intelligence with OpenAI, Altman has cemented his status as a visionary in the tech industry. The Beginning of a Journey Sam Altman's entrepreneurial spirit was ignited early on. Co-founding Loopt , a pioneering location-based social networking app, Altman stepped into the tech arena right after dropping out of Stanford University. Loopt's success and eventual acquisition by Green Dot Corporation for $43.4 million marked Altman's early triumph in the startup world. Rise to Prominence with Y Combinator Joining Y Combinator as a partner and later serving as its president, Altman transformed the startup accelerator into a powerhouse of innovation. Under his leadership, Y Combinator expan...
Post a Comment
Read more

How large language models work

In the vast world of technology, large language models (LLMs) like ChatGPT have created quite a stir with their ability to understand and generate human-like text. But what exactly are these models, and how do they work? Let's break it down into simple terms. What are Large Language Models? Imagine a librarian who has read every book in the world and can recall any information from them instantly. Large language models are somewhat similar. They are computer programs designed to understand, predict, and generate language based on the data they've been trained on. They are called 'large' because they are trained on massive amounts of text data. How Do They Learn? 1. Training on Lots of Data : LLMs learn language by analyzing vast amounts of text data. This data can include books, articles, websites – essentially, any text you can think of. 2. Understanding Patterns : As they go through the data, these models look for patterns in the way words are used and structured in s...
Post a Comment
Read more