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For years, the AI conversation has been dominated by massive general-purpose language models like GPT-4, Claude, and Gemini. These models, built on hundreds of billions of parameters, are breathtakingly capable, but also prohibitively expensive, energy-intensive, and often overkill for most …
In 2025, artificial intelligence (AI) is no longer just a buzzword—it’s a daily part of how businesses run, grow, and compete. From hospitals using AI to predict diseases to banks detecting fraud in real time, AI is driving productivity like …
The next industrial revolution is being quietly led by artificial intelligence, and at its core are LLMs. Once confined to chatbots and writing assistants, LLMs are now showing enormous potential in smart factories, redefining how we interact with machines, manage …
In the ever-evolving world of manufacturing, innovation is no longer a solo act. It’s a collaborative symphony between humans and machines. At the heart of this collaboration is a powerful new player: the Large Language Model (LLM).
From accelerating product …
The rise of LLMs has ushered in a new wave of enterprise and SaaS applications, where AI assistants can summarize documents, answer support tickets, generate code, and even handle business workflows. However, building multi-user, multi-tenant LLM applications introduces a critical …
As LLMs become embedded into enterprise applications, from customer service bots to internal productivity copilots, their powerful capabilities demand tighter control over who can access what. Without proper role-specific access control, LLMs risk exposing sensitive data, triggering unauthorized actions, or …
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