Artificial Intelligence

In the world of AI, bigger isn’t just better—it’s revolutionary. When Meta’s LLaMA 4 was announced with a jaw-dropping 10 million token context window, it sent waves across the machine learning community. That number isn’t just a stat—it reshapes how we think about retrieval,

In the early days, artificial intelligence (AI) was the domain of elite researchers, large tech companies, and well-funded organizations. Today, that’s rapidly changing. We are now in the midst of what many call the democratization of AI—a shift that aims to make AI accessible, understandable, and usable by

In an era where AI-generated art can mimic the styles of legendary studios like Ghibli, paint in the manner of Van Gogh, and compose symphonies reminiscent of Beethoven, we must ask: Is AI expanding artistic possibilities, or is it reducing creativity to mere prompting? AI as a Tool vs. AI

The rapid evolution of AI technology has brought fierce competition among major players in the field. Among them, Gemini by Google stands out with access to an unparalleled ecosystem of data and hardware. Yet, despite its potentially game-changing advantages, many feel that Gemini’s performance is still "underwhelming"

In today’s tech landscape, AI has made it cheaper and faster than ever to go from idea to execution. Prototypes and MVPs that used to take weeks or months can now be scaffolded in hours. However, while this acceleration is a gift, it comes with its own challenges. Without

Artificial Intelligence (AI) has undeniably become a powerful tool in solving problems, generating ideas, and streamlining processes across various domains. However, it is crucial to recognize that current AI systems are more about clever statistical predictions than genuine intelligence. This distinction has significant implications for how we use and benefit