02. GenAI Learnathon_Deployment_Exercise
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
Nodes
- Single Selection Configuration11 ×
- Cell Splitter8 ×
- Table Row to Variable8 ×
- CSS Editor7 ×
- String Configuration7 ×
- Show all 42 nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Column Expressions (legacy)
- FeatureKNIME Database
- FeatureKNIME Excel Support
- FeatureKNIME Hub Additional Connectivity
- Show all 11 modules
Links
- No links available