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")
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
feedloop-0.1.2.tar.gz
(144.9 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-0.1.2-py3-none-any.whl
(111.3 kB
view details)
File details
Details for the file feedloop-0.1.2.tar.gz.
File metadata
- Download URL: feedloop-0.1.2.tar.gz
- Upload date:
- Size: 144.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
399186e85f2aa249f61c3748ef83fbe2829712ce82015d4687031e5e4e10f8f4
|
|
| MD5 |
311fe36e9feba9c63517a661602902ba
|
|
| BLAKE2b-256 |
c151451edde369259228c0ffb4d1703677b8faa70674912e48bf4d6c607cfdac
|
File details
Details for the file feedloop-0.1.2-py3-none-any.whl.
File metadata
- Download URL: feedloop-0.1.2-py3-none-any.whl
- Upload date:
- Size: 111.3 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 |
6092a8bd54752ca2cf7b9a11d934c963929bfe676e35b28b81c906cded763199
|
|
| MD5 |
51b934e4e91cd4270c1a086f4d4f7b0e
|
|
| BLAKE2b-256 |
9a751ce8bc2ba3a328e1b2d73ae80a4a3c5e89e4c2e354257b0bf22388b60e89
|
