Tools to make language models a bit easier to use
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Author: Jeremy Howard
Requires Python: >=3.9
Classifiers
Natural Language
- English
Intended Audience
- Developers
Development Status
- 3 - Alpha
Programming Language
- Python :: 3
- Python :: 3 :: Only
toolslm
This is a work in progress…
Install
pip install toolslm
How to use
Context creation
toolslm has some helpers to make it easier to generate XML context from
files, for instance
folder2ctx:
print(folder2ctx('samples', prefix=False, file_glob='*.py'))
<documents><document index="1"><src>
samples/sample_core.py
</src><document-content>
import inspect
empty = inspect.Parameter.empty
models = 'claude-3-opus-20240229','claude-3-sonnet-20240229','claude-3-haiku-20240307'
</document-content></document></documents>
JSON doesn’t map as nicely to XML as the ft data structure from
fastcore.xml, but for simple XML trees it can be convenient. The
json_to_xml
function handles that conversion:
a = dict(surname='Howard', firstnames=['Jeremy','Peter'],
address=dict(state='Queensland',country='Australia'))
print(json_to_xml(a, 'person'))
<person>
<surname>Howard</surname>
<firstnames>
<item>Jeremy</item>
<item>Peter</item>
</firstnames>
<address>
<state>Queensland</state>
<country>Australia</country>
</address>
</person>
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