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Co-authored-by: Alvaro Bartolome <alvarobartt@gmail.com> Co-authored-by: Daniel Vila Suero <daniel@argilla.io> Co-authored-by: Tom Aarsen <37621491+tomaarsen@users.noreply.github.com> Co-authored-by: Tom Aarsen <Cubiegamedev@gmail.com>
30 lines
1.1 KiB
Markdown
30 lines
1.1 KiB
Markdown
# Argilla
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>[Argilla](https://argilla.io/) is an open-source data curation platform for LLMs.
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> Using Argilla, everyone can build robust language models through faster data curation
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> using both human and machine feedback. We provide support for each step in the MLOps cycle,
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> from data labeling to model monitoring.
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## Installation and Setup
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First, you'll need to install the `argilla` Python package as follows:
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```bash
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pip install argilla --upgrade
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```
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If you already have an Argilla Server running, then you're good to go; but if
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you don't, follow the next steps to install it.
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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.
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## Tracking
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See a [usage example of `ArgillaCallbackHandler`](../modules/callbacks/examples/examples/argilla.ipynb).
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```python
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from langchain.callbacks import ArgillaCallbackHandler
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```
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