What is a Large Language Model (LLM)?
An LLM is a model trained on large text data to predict and generate language.
Technical detail
LLMs can summarize, classify, draft content, and follow instructions across many business tasks. Their outputs are probabilistic, which means results can vary by prompt and context. LLMs are powerful when paired with retrieval, tools, and validation checks. On their own, they should not be treated as a guaranteed source of truth.
Why it matters
- Powers many practical AI workflows in sales, service, and operations.
- Can reduce time spent on repetitive writing and triage tasks.
- Needs guardrails and evaluation to maintain quality.
- Model choice affects cost, speed, and reliability.
Example
A team uses an LLM to draft follow-up messages from CRM context. The draft is automatically checked for required fields before sending, and exceptions route to human review.
How Retailbridge relates
Retailbridge uses LLMs as one part of a larger workflow system. Outputs are combined with business rules, approval steps, and performance tracking. The focus is operational consistency over novelty.