Contents Menu Expand Light mode Dark mode Auto light/dark mode
Light Logo Dark Logo
Light Logo Dark Logo
Join

Getting Started

  • What is Argilla?
  • 🚀 Quickstart
    • Installation
    • Workflow Feedback Dataset
    • Workflow other datasets
  • 🎼 Cheatsheet
  • 🔧 Installation
    • Python
    • Docker
    • Docker Quickstart
    • Docker-compose
    • Cloud Providers and Kubernetes
    • Hugging Face Spaces
    • Google Colab
  • ⚙️ Configuration
    • Elasticsearch
    • Server configuration
    • User Management
    • Workspace Management
    • Database Migrations
    • Image Support

Conceptual Guides

  • Argilla concepts
  • Data collection for LLMs
    • Collecting RLHF data
    • Collecting demonstration data
    • Collecting comparison data

Practical Guides

  • 🗺️ Practical guides overview
  • 🧐 Choose a dataset type
  • 🧑‍💻 Create a dataset
  • 🗂️ Assign records to your team
  • 💫 Update a dataset
  • 🔎 Filter and query datasets
  • ✍️ Annotate a dataset
  • 📊 Collect responses and metrics
  • 📥 Export a dataset
  • 🦾 Fine-tune LLMs and other language models

Tutorials and Integrations

  • Tutorials
  • Integrations
    • Monitoring LLMs in LangChain apps, chains, and agents and tools
    • Large scale document processing for LLMs with Unstructured.io
    • Monitor NLP models with FastAPI and ArgillaLogHTTPMiddleware

Reference

  • Python
    • Client
    • Metrics
    • Labeling
    • Training
    • Monitoring
    • Listeners
    • Users
    • Workspaces
  • CLI
  • Argilla UI
    • Pages
    • Features
  • Notebooks
    • 🔐 Backup and version Argilla Datasets using DVC
    • 🚀 Run Argilla with a Transformer in an active learning loop and a free GPU in your browser
    • 💾 Monitor FastAPI model endpoints
    • 🗺️ Add bias-equality features to datasets with disaggregators
    • 💡 Build and evaluate a zero-shot sentiment classifier with GPT-3
    • 💨 Label data with semantic search and Sentence Transformers
    • 📸 Bulk Labeling Multimodal Data
    • 🧱 Augment weak supervision rules with Sentence Transformers
    • 🔫 Zero-shot and few-shot classification with SetFit
    • 🗂 Multi-label text classification with weak supervision
    • 📰 Train a text classifier with weak supervision
    • 🗂️ Assign records to your annotation team
    • 🩹 Delete labels from a Token or Text Classification dataset
    • 🔫 Evaluate a zero-shot NER with Flair
    • 🐭 Train a NER model with skweak
    • 💫 Explore and analyze spaCy NER predictions
    • 🧐 Find label errors with cleanlab
    • 🥇 Compare Text Classification Models
    • 🕵️‍♀️ Analize predictions with explainability methods
    • 🧼 Clean labels using your model’s loss
    • # 🤔 Fine-tunning a NER model with BERT for Beginners
    • ## Introduction
    • ## Running Argilla
    • ## Setup
    • ## 🚀 Exploring our dataset
    • ## ⏳ Preprocessing the data
    • ## 🔍 Fine-tunning the model
    • 📝✔️ Summary
    • Text classification active learning with classy-classification
    • 🤔 Text Classification active learning with ModAL
    • 🤯 Few-shot classification with SetFit
    • 🤗 Train a sentiment classifier with SetFit
    • 👂 Text Classification active learning with small-text
    • 🏷️ Fine-tune a sentiment classifier with your own data
    • 🕸️ Train a summarization model with Unstructured and Transformers
  • Telemetry
  • Terminology

Community

  • Slack
  • Github
  • Discussion forum
  • Developer documentation
  • Contributor Documentation
  • Migration from Rubrix
Back to top
Join
Copyright © 2023, Argilla.io
Made with Sphinx and @pradyunsg's Furo