During this hands-on learnathon, you will get familiar with the free low-code tool KNIME Analytics Platform, techniques for fraud detection, and the use of GenAI via the KNIME AI Extension (Labs).
Without any coding experience you will learn to:
* Detect frauds in investment contracts visually and using statistical techniques
* Prompt engineer an LLM via the OpenAI integration
* Create a vector store from a corpus of different types of investment contracts (the knowledge base)
* Build and deploy a data app to display email alerts and make it available to authenticated users on a web browser
Other KNIME AI integrations we will discuss include GPT4All, Hugging Face, Chroma, FAISS and more.
URL: KNIME AI Extension (Labs) https://hub.knime.com/knime/extensions/org.knime.python.features.llm/latest/
URL: KNIME for Generative AI https://hub.knime.com/-/collections/~D4ckx2q_J5FPBQXu/
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, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.