Introducing Lit-LLaMA: a minimal, optimized rewrite of LLaMA licensed under Apache 2.0 →

Lightning Community Resources

Discover the latest tricks and tips to help you develop AI faster with the Lightning Platform.

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    Tutorials

    Finetuning LLMs on a Single GPU Using Gradient Accumulation
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    Accelerate PyTorch Code with Fabric
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    Introduction to Lightning Fabric
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    Training Compiled PyTorch 2.0 with PyTorch Lightning
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    Lightning Releases

    Introducing PyTorch Lightning 2.0 and Fabric
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    Lightning 1.8: Colossal-AI, Secrets for Apps, and more
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    Lightning 1.7: Apple Silicon, Multi-GPU and more
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    Lightning 1.6: Habana Accelerator, Bagua Distributed, Fault-Tolerance Improvements
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    Community Discussions

    Are Consistency Models the Next Big Thing?
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    Microsoft’s Kosmos-1 Claims to Solve IQ Tests and OpenAI Introduces ChatGPT and Whisper APIs
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    Why Google’s Researchers are Intentionally Poisoning Datasets and More
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    AI Just Flew a Fighter Jet for 17 Hours, Commanded Super Mario Bros and More
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    Announcements

    Be the First to Know: Lightning Open Source Launch
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    Train Machine Learning Models with Synthetic Data
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    PyTorch Team at Lightning – Welcome Mike Ruberry
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    Protected: Watch On Demand: Reduce Infrastructure Cost by Moving Beyond MLOps
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    Articles

    Using DeepSpeed to Optimize Models
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    How to Evaluate Machine Learning Models
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    Grid.ai Becomes Lightning AI
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    PyTorch Lightning and the Future of Open Source AI
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    Case Studies

    Transfer Learning Techniques: Revolutionizing Time Series Forecasting with Lightning
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    Scaling Accelerated Drug Discovery with Grid
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    University of British Columbia uses Grid.ai
    Solving Complex Macroeconomic Problems With Machine Learning
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    podsights
    Using Grid to Deliver Models Into Production 50% Faster
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