Large Language Model (LLM)

AI-native browsers mean treating large language models (LLMs) as a core component at the product architecture level, rather than treating AI as an optional add-on feature as traditional browsers do.

Conversational understanding relies on the contextual memory and multi-turn reasoning capabilities of large language models; the LLM incorporates the student's previously asked questions, follow-ups, and clarifications into the context window, dynamically adjusting the content and difficulty of subsequent answers.

With the rise of large language models, some dialogue management responsibilities are being replaced by LLM prompting and function-calling mechanisms, but structured state machines remain irreplaceable in strict process scenarios such as finance and healthcare.

The knowledge of large language models is cut off at the point in time of the training data, and they cannot directly interact with external systems; the plugin mechanism addresses this fundamental limitation by calling external APIs.