Large Language Models
Explains large language models as a technology category: what they are, which capabilities make them the foundation of AI applications, the key dimensions to check when choosing one, and where their limits lie.
Large language models underpin today's AI applications. Mostly Transformer-based and trained on massive text, they gain understanding, generation, and reasoning, then reach real tasks via fine-tuning, prompting, and tool calling. Their value is the paradigm shift general capability brings—not parameter count; their limits are just as clear: knowledge cutoffs, hallucinations, and long tasks that still need external tools and guardrails.
