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Aim

An easy-to-use & supercharged open-source AI metadata tracker

Freemium
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Description

Aim is an open-source AI metadata tracking tool that enables users to log and manage diverse AI metadata, including experiments and prompts. It provides a self-hosted environment, ensuring users retain full ownership of their data. The platform is engineered to handle hundreds of thousands of tracked metadata sequences efficiently.

Featuring a performant user interface, Aim allows for easy exploration, comparison, and visualization of training runs and prompt sessions. Users can group and aggregate numerous metrics, analyze correlations, and delve into detailed run information such as hyperparameters, metrics, images, distributions, audio, text, and system resource usage. Additionally, Aim offers an SDK for programmatic querying and access to tracked data, facilitating integration into existing workflows.

Key Features

  • AI Metadata Logging: Log diverse AI metadata including experiments, prompts, hyperparameters, metrics, images, distributions, audio, text.
  • Experiment Comparison UI: Visually explore and compare training runs and prompt sessions.
  • Metric Grouping & Aggregation: Group and aggregate hundreds of metrics for analysis.
  • Correlation Analysis: Analyze and learn correlations between different tracked parameters.
  • Pythonic Search SDK: Query tracked metadata programmatically using a Python SDK.
  • Detailed Run Exploration: Deep dive into individual run details including Plotly and Matplotlib plots.
  • System Resource Tracking: Monitor and analyze system resource usage during runs.
  • Centralized Dashboard: View and manage all tracked runs from a single interface.
  • Open-Source & Self-Hosted: Provides full data ownership and transparency with readily available source code.
  • Integrations: Connects with popular ML tools and frameworks.
  • Model Versioning: Track different versions of models (Available in paid tiers).
  • Hyperparameter Tuning Support: Facilitates hyperparameter optimization workflows (Available in paid tiers).
  • Collaboration Features: Enables team collaboration on experiments (Available in paid tiers).

Use Cases

  • Tracking and comparing machine learning experiments.
  • Logging and analyzing prompt engineering sessions.
  • Debugging AI models by exploring detailed run metadata.
  • Centralizing AI development information for governance.
  • Accelerating model development through run comparison and analysis.

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