Machine-Teaching
A Machine that thinks.
In order to launch it from the command line or as a Python subprocess:
echo "Theodotos-Alexandreus: Are language models seeking the Truth, machine?" \
| uvx machine-teaching \
--provider-api-key sk-proj-... \
--github-token ghp_...
Or, with a local pip installation:
pip install machine-teaching
Set the environment variables:
export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."
Then:
machine-teaching -a multilogue.txt
Or:
machine-teaching multilogue.txt > response.txt
Or:
machine-teaching -a multilogue.txt > tmp && echo tmp > multilogue.txt
Or use it in your Python code:
# Python
import machine_teaching
2 maintainers
Metadata
2 maintainers
Release files for machine-teaching 0.0.1
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| File | Size | Uploaded | Provenance | |
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| machine_teaching-0.0.1.tar.gz | 17.5 kB | With provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| machine_teaching-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.9 kB
Release files / machine_teaching-0.0.1.tar.gz
| Download URL | machine_teaching-0.0.1.tar.gz |
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| Size | 17.5 kB |
| Tags | Source |
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| Tags | Python 3 |
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