llm systems

The llm systems tag covers how large language models are evolving beyond standalone chatbots into tool-using, self-checking, and multimodal agents embedded in work software. Discussions focus on the broader stack required to make these systems useful and dependable, including retrieval, routing, verification, memory, domain tuning, and governance. The tag also examines sparsely activated models and the practical challenges of reliability, costly failures, and models that still make mistakes. Together, this content explores whether LLMs can become trusted infrastructure rather than remaining impressive but inconsistent demonstrations, with attention to the system design surrounding the model itself.