02. GenAI Learnathon_Deployment_Exercise

GenAI Learnathon: Enrich Data Analytics with GenAI

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/knime/collections/KNIME%20for%20Generative%20AI~D4ckx2q_J5FPBQXu

E) Deploy Fraud Detection with GenAI Alert on KNIME Business Hub (OPTIONAL)

Step 1: Apply fraud detection on new contract data

Step 2: Apply vector store on newly detected frauds to get context

Step 3: Apply prompt engineering and the LLM to perform RAG and generate new frauds email alerts

Step 4: Deploy to KNIME Business Hub the resulting Data App

02. GenAI Learnathon_​Deployment_​Exercise

E) Deploy Fraud Detection with GenAI Alert on KNIME Business Hub (OPTIONAL)

Step 1: Apply fraud detection on new contract data

Step 2: Apply vector store on newly detected frauds to get context

Step 3: Apply prompt engineering and the LLM to perform RAG and generate new frauds email alerts

Step 4: Deploy to KNIME Business Hub the resulting Data App

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02. GenAI Learnathon_Deployment_Exercise