What is an LLM?
An LLM (large language model) is an AI model trained on large volumes of text to understand and generate language, and the foundation of most agents and copilots.
What it does and what it does not
An LLM predicts and generates language from an instruction: it drafts, summarizes, translates or classifies text with notable fluency. But on its own it does not know your private or most recent data, it can generate incorrect information and it does not execute actions on your systems. It is a language engine, not a complete system.
From model to system
For it to deliver value in an organization, the LLM is surrounded by pieces that cover its limits: RAG to answer with verifiable data, tools to act and human oversight at the decision points. That is how it goes from generating text to being the core of an AI agent or a copilot.
How we approach it at Codara
We treat the LLM as one piece, not as the solution: when we build an Agentic OS on Codara's own platform, we connect it to your data, your tools and your oversight so it executes real work in production.
Preguntas frecuentes
Is an LLM the same as an agent?
No. An LLM generates language from an instruction; an AI agent uses an LLM as its reasoning engine, but it also decides, uses tools and executes actions.
What limitations does it have?
On its own it does not access your private or up-to-date data, it can make up information and it does not execute actions. That is why in production it is combined with RAG, tools and human control.