KNIME 5.2 unterstützt nun das Erstellen Ihrer eigenen Wissensdatenbank für LLMs, einen lokalen Vektorspeicher (FAISS), um Ihre eigenen Dokumente zu erkunden […]
URL: 4 levels of LLM customization - KNIME Blog https://www.knime.com/blog/4-levels-llm-customization URL: AI Learnathons - KNIME Forum […]
URL: How to Develop Your First XGBoost Model in Python https://machinelearningmastery.com/develop-first-xgboost-model-python-scikit-learn/ URL: A Beginner’s […]
Extract images from an Excel file with the help of Python / OpenPyxl there is a Jupyter notebook to experiment with under […]
The University of Saskatchewan Ph.D. in Interdisciplinary Studies Created by: Carlos Enrique Diaz, MBM, P.Eng. Email: carlos.diaz@usask.ca Supervisor: […]
<p>KNIME - "Discover the possibilities" (for advanced users) - further ideas and suggestions for working with KNIME</p> URL: KNIME, ChatGPT and Python […]
Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with […]
KNIME and CrewAI - use an AI-Agent system to let a local LLM like Llama3 solve your tasks The agents will 'discuss' among themselves and come back with a […]
Import and explore possible sensor data (KNIME forum entry 58594, 58393) - create reports with pandas-profiler and sweetviz
--- MEDIUM Blog: KNIME, AI and local Large Language Models (LLM) https://medium.com/p/cef650fc142b --- You can easily download and run the workflow […]
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