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Author:
Artem Kazakov Kozlov
Summary:
Prompt optimization and LLM evaluation for local LLMs: picks the prompting technique your task needs, compiles the prompt it implies, measures it on your model, and searches for a better one.
Latest version:
0.3.0
Required dependencies:
httpx
|
pydantic
|
pyyaml
Optional dependencies:
datasets
|
dspy
|
fastapi
|
langfuse
|
litellm
|
opentelemetry-exporter-otlp-proto-http
|
opentelemetry-sdk
|
optuna
|
prompt-playoff
|
pyarrow
|
pytest
|
pytest-asyncio
|
python-multipart
|
rich
|
ruff
|
typer
|
uvicorn
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