A Large Language Model such as GPT-3.5 Turbo can perform simple tasks if well instructed. In this instance we provide 10 possible labels and we require the model to answer with 1 word answer (the label).
A vector store is provided for experimental purposes. Usually vector stores are useful to ask the model to retrieve the right doc or answer a question based on the knowledge base of the documents corpus.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Download WorkflowDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.