LLM
A large language model is a deep learning architecture for processing, predicting, and generating human language. It is trained on large amounts of text, has many parameters, and uses an attention mechanism that enables it to understand context.
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Source content checked . English translation published 2026-10-27.
In business automation
A language model is useful when text needs to be summarized, drafted, or classified and does not arrive in a fixed format. It is not a database, so changing business facts must come from an external source, not the model's memory.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Business process example
A long customer service email is sent to a model with instructions to return a topic, urgency, and short summary. The automation verifies that the category is allowed and then opens a support ticket; in an ambiguous case, it leaves classification to a person.
Relevant tools
- Dify
- Integrate language models into workflows with defined inputs, knowledge, and actions.
What to check
- A well-written answer is not necessarily correct. Check real examples and do not rely on a single successful demonstration.