A model-agnostic framework for quantifying and correcting systematic biases in LLM-as-judge evaluation pipelines.
Project description
Judgelens
A model-agnostic framework for quantifying and correcting systematic biases in LLM-as-judge evaluation pipelines.
Install
pip install judgelens
Examples
Check out full working examples here:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
judgelens-0.1.0.tar.gz
(8.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
judgelens-0.1.0-py3-none-any.whl
(11.4 kB
view details)
File details
Details for the file judgelens-0.1.0.tar.gz.
File metadata
- Download URL: judgelens-0.1.0.tar.gz
- Upload date:
- Size: 8.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68a251cb5b94ac69488e471e1855625728f2336385dfff07feaf671da390bbf3
|
|
| MD5 |
7f368ddd8152c9ec05c6dcd38c2b9088
|
|
| BLAKE2b-256 |
58d9ef186a78b4e566eafde69e74477b7130cef2d2b6e86822528d47937a1347
|
File details
Details for the file judgelens-0.1.0-py3-none-any.whl.
File metadata
- Download URL: judgelens-0.1.0-py3-none-any.whl
- Upload date:
- Size: 11.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
57c382181f5ce9123d1138d0a99a1f2adea990226a0d12dd6f0a4c7ea0945897
|
|
| MD5 |
5941eeb268cc88bbce6b0d22a04c5997
|
|
| BLAKE2b-256 |
2720ae0086c0b45e9ab6daba9f421f25272d7eaccf482458866d52107f3b996a
|