KNIME announced the launch of its "AI Learnathon" series. The series
includes hands-on hybrid events designed to empower any individual -
regardless of their technical background - to build their own AI-powered
data applications using KNIME's AI extension and maximize the value of
their data.
KNIME's AI Learnathon series will enable virtual and in-person users to
familiarize themselves with and unlock the full capabilities and value
of KNIME Analytics Platform 5.1, which launched in July 2023.
Participants will learn how to leverage the nodes within KNIME's AI
extension as a framework to build custom large language model (LLM)
chatbots on a custom knowledge base. In addition to custom chat bots,
participants will also learn:
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An introduction to KNIME Analytics Platform 5.1: A comprehensive guide
for beginners to navigate and utilize the platform effectively.
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How to create a vector store from a corpus of documents and attached metadata.
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Prompt engineering skills, gaining an understanding how to best tailor a
custom chat model to answer specific queries using KNIME's OpenAI
integration.
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How to add a user interface to control the KNIME workflow and build an accessible chatbot data application.
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Steps to deploy the data app, making it available to authenticated users via a web browser.
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An overview of KNIME's other AI integrations including GPT4All, Hugging Face, Chroma, FAISS, and more.
The first three events will be both streamed and held live in three
cities across Europe, with additional events to follow in the US.
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November 23rd in Hamburg, Germany
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November 30th in Nottingham, England
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December 14th in Berlin, Germany
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Additional AI Learnathons are planned for the U.S. in Q1 2024
"While AI cannot take over our jobs, it can make our work easier and
faster," says Rosaria Silipo, KNIME's head of Evangelism. "The KNIME AI
extension allows both experienced users and those new to genAI to learn
to access and customize pre-existing AI models in record time."
Participants interested in joining this timely learning experience - whether in-person or online - can register online via the KNIME Events webpage.