text: 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 Setupâ€‹First, you'll need to install the  argilla Python package as follows:pip install argilla --upgradeIf 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 - ğŸš€ Quickstart to deploy Argilla either on HuggingFace Spaces, locally, or on a server.Trackingâ€‹See a usage example of ArgillaCallbackHandler.from langchain.callbacks import ArgillaCallbackHandlerPreviousArangoDBNextArthurInstallation and SetupTrackingCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.