Large Language Models, often called LLMs, are advanced AI systems trained on massive amounts of text.
They are designed to understand and generate human-like language, which makes them central to many of today’s most visible AI tools.
These models power chatbots, virtual assistants, translation services, and content generation platforms.
Their ability to produce fluent and context-aware responses has made them a foundation for applications that rely on natural communication.
Research around LLMs also explores their limitations and challenges.
Questions about bias, accuracy, and responsible use remain ongoing, as the same technology that enables creative storytelling or helpful dialogue can also generate misleading or harmful content if not managed carefully.
The LLM category focuses on exploring how these models work, what they enable, and where they may lead next.
From technical insights to real-world applications, this space covers both the potential and the concerns shaping how LLMs fit into the broader world of AI.
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