mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
30 lines
1.1 KiB
Markdown
30 lines
1.1 KiB
Markdown
|
# Argilla
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
>[Argilla](https://argilla.io/) is an open-source data curation platform for LLMs.
|
||
|
|
> Using Argilla, everyone can build robust language models through faster data curation
|
||
|
|
> using both human and machine feedback. We provide support for each step in the MLOps cycle,
|
||
|
|
> from data labeling to model monitoring.
|
||
|
|
|
||
|
|
## Installation and Setup
|
||
|
|
|
||
|
|
First, you'll need to install the `argilla` Python package as follows:
|
||
|
|
|
||
|
|
```bash
|
||
|
|
pip install argilla --upgrade
|
||
|
|
```
|
||
|
|
|
||
|
|
If you already have an Argilla Server running, then you're good to go; but if
|
||
|
|
you don't, follow the next steps to install it.
|
||
|
|
|
||
|
|
If you don't you can refer to [Argilla - 🚀 Quickstart](https://docs.argilla.io/en/latest/getting_started/quickstart.html#Running-Argilla-Quickstart) to deploy Argilla either on HuggingFace Spaces, locally, or on a server.
|
||
|
|
|
||
|
|
## Tracking
|
||
|
|
|
||
|
|
See a [usage example of `ArgillaCallbackHandler`](../modules/callbacks/examples/examples/argilla.ipynb).
|
||
|
|
|
||
|
|
```python
|
||
|
|
from langchain.callbacks import ArgillaCallbackHandler
|
||
|
|
```
|