Workflow · Production
Cohere LLM use cases overview: Generate, Summarize, Rewrite, and Extract
The problem
LLMs can be overwhelming for newcomers trying to understand when and where to use them, given their versatility across a wide range of NLP tasks.
Workflow diagram · grounded in source
1
Generate text from prompt
ai_action
“the basic idea in prompt engineering is to provide a context for a model to work with”
2
Summarize documents
ai_action
“We can have an LLM summarize a piece of text by prompting it with a few examples of a full document and its summary”
3
Rewrite for audience or style
ai_action
“Another flavor of prompt engineering is text rewriting”
4
Extract key information
ai_action
“The idea is to take a long piece of text and extract only the key information or words from the text”
Reported outcome
(not stated)
Reported stack
Cohere API
Frequently asked questions
What did this team achieve with this AI workflow?
(not stated)
What tools did this team use?
Cohere API.
How is this workflow AI workflow structured?
Generate text from prompt → Summarize documents → Rewrite for audience or style → Extract key information.