The fastest way to collect human preference data for LLMs
Project description
feedloop
The fastest way to collect human preference data for LLMs.
import feedloop
feedloop.start()
feedloop.compare(
prompt="Explain quantum computing",
outputs=["Response A", "Response B"],
)
# Rate in the browser, then export
feedloop.export("preferences.jsonl")
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
feedloop-0.1.0.tar.gz
(41.4 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
feedloop-0.1.0-py3-none-any.whl
(10.3 kB
view details)
File details
Details for the file feedloop-0.1.0.tar.gz.
File metadata
- Download URL: feedloop-0.1.0.tar.gz
- Upload date:
- Size: 41.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b7dd868b94a19e29f56af6568b65b87e2e61dd6a24a212dac1b6c39e4bbdc82d
|
|
| MD5 |
bb0350a6d274c10883836cb8d9fe08e9
|
|
| BLAKE2b-256 |
4652742cfc8bb24672481c186e74f72f708262de0289e7c6feccc4de49099b38
|
File details
Details for the file feedloop-0.1.0-py3-none-any.whl.
File metadata
- Download URL: feedloop-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
362eafbe0a4e71f4c6a397d2ddf460c951e69947697c13b9f9e8f420c4ff2eec
|
|
| MD5 |
6e8dc269f4c1ae3c56138233ab86011a
|
|
| BLAKE2b-256 |
2e832fda3d60470d2a9003be9b6d3d5a4f00eab2265186febeae88f4faf59630
|