Integrations
Explore how AimOS can boost your PyTorch Lightning experiments. This article provides a comprehensive guide with a practical example, emphasizing the integration of PyTorch Lightning into AimOS.
AimCallback for Hugging Face is designed to enhance your experiment logging and monitoring. It thoroughly records essential information, including hyperparameters, training, validation, and test time metrics like loss and accuracy.
Explore step-by-step guide for LangChain Debugger, a tool designed for in-depth tracking and visualization of LangChain scripts. The guide features a hands-on example emphasizing its abilities to log LLMs prompts, tool inputs/outputs, and chain metadata, providing a clear understanding of its functionalities.
Discover AI observability with AimOS's LlamaIndex Observer. Essential insights for efficient AI model tracking and analysis. Check out our guide for observability solutions in the world of AI.
Deploy Aim on Hugging Face Spaces using the Docker template. Aim empowers you to explore logs with interactive visualizations, easily compare training runs at scale and be on top of ML development insights.
As AI systems get increasingly complex, the ability to effectively debug and monitor them becomes crucial. Use Aim to easily trace complex AI systems.
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