GPT4All - Chat DataApp

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MEDIUM Blog: KNIME, AI and local Large Language Models (LLM)
https://medium.com/p/cef650fc142b
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You can easily download and run the workflow directly in your KNIME installation. We recommend that you use the latest version of the KNIME Analytics Platform for optimal performance.

Instructions:

1. Install GPT4All. The installer link can be found in external resources.

2. Download a model via the GPT4All UI (Groovy can be used commercially and works fine). Preferably into the ../gpt4all_models/ folder

3. Use the component to select the right GPT4All LLM model.

4. Run the model either as a block or with the chat component

For running GPT4All models, no GPU or internet required. Please note which models are allowed to be used commercially!

[please download the whole workflow group - https://hub.knime.com/-/spaces/-/latest/~17k4zAECNryrZw1X/]

URL: GPT4All https://gpt4all.io
URL: GPT4All (adapted from this workflow) https://hub.knime.com/-/spaces/-/latest/~Do1baLMPHHm7wMIL/
URL: GPT4All and KNIME: Leverage LLMs that run locally https://forum.knime.com/t/gpt4all-and-knime-leverage-llms-that-run-locally/72498?u=mlauber71
URL: RLHF: Reinforcement Learning from Human Feedback https://huyenchip.com/2023/05/02/rlhf.html
URL: MEDIUM Blog: KNIME, AI and local Large Language Models (LLM) https://medium.com/p/cef650fc142b
URL: MEDIUM Blog: Creating a Local LLM Vector Store from PDFs with KNIME and GPT4All https://medium.com/p/311bf61dd20e

Nodes

• String Manipulation (Variable)10 ×
• Table Row to Variable9 ×
• Merge Variables8 ×
• String Configuration6 ×
• Create File/Folder Variables5 ×
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Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Basic File System Connectors
• FeatureKNIME HTML/PDF Writer (legacy)
• FeatureKNIME JavaScript Views
• FeatureKNIME Javasnippet
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