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Author:
Lukas Babaliauskas
Summary:
Run your prompts on two LLMs and find out, with statistical confidence, what regressed.
Latest version:
1.5.0
Required dependencies:
aiosqlite
|
evalshift-sdk
|
greenlet
|
httpx
|
jinja2
|
jsonschema
|
litellm
|
numpy
|
packaging
|
pydantic
|
pygments
|
pyyaml
|
rich
|
scipy
|
sqlalchemy
|
tiktoken
|
typer
Optional dependencies:
azure-identity
|
azure-storage-blob
|
boto3
|
google-cloud-storage
|
mypy
|
pre-commit
|
pytest
|
pytest-asyncio
|
pytest-cov
|
respx
|
ruff
|
types-jsonschema
|
types-pyyaml
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7-day smoothing