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General:  machine learning assistant documentation Integration:  dvc git
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Initial commit
1 year ago
7d40c3745e
changed docs to txt
1 year ago
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Initial commit
1 year ago
2fd12d5503
full document just needs inference
1 year ago
65bcb0929c
added FAISS
1 year ago
1db36dc3de
Initial commit
1 year ago
d692163671
updated
1 year ago
packaging-committee @ acd36770c8
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Initial commit
1 year ago
1db36dc3de
Initial commit
1 year ago
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Initial commit
1 year ago
687e1aab35
Update 'README.md'
11 months ago
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Initial commit
1 year ago
1db36dc3de
Initial commit
1 year ago
c0c072025a
updated complete pipeline
1 year ago
c0c072025a
updated complete pipeline
1 year ago
e50f5d33ea
more stuff
1 year ago
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Initial commit
1 year ago
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README.md

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fedora-llm-docs

This is a project to make fedora documentation retrieval easier

Instructions

  1. Clone the repo.
  2. (Recommended) Create and activate a virtualenv under the env/ directory. Git is already configured to ignore it.
  3. Install the very minimal requirements using pip install -r requirements.txt
  4. Run Jupyter in whatever way works for you. The simplest would be to run pip install jupyter && jupyter notebook.
  5. All relevant code and instructions are in Example.ipynb.

Explanation

#this system requires the user to download LM studio, which is at LM Studio, and grab the linux app image, grok the tunnel for the prototype.

Also to setup the environment for the prototype.

get podman running Instructions and also connect to it, follow the instructions to install and connect to jupyter within the POD, requires NVIDIA-container-toolkit installed, with the entire toolchain, and ngrok the tunnel, put the tunnel on the end repo, there is no GUI right now it's uneccesary.

Made with 🐶 by DAGsHub.

Tip!

Press p or to see the previous file or, n or to see the next file

About

This is a project to make fedora documentation retrieval easier

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