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!learnmachinelearning
@sh.itjust.workshttps://techcrunch.com/2024/04/09/google-open-sources-tools-to-support-ai-model-development/
Google is launching Jetstream, a new engine to run generative AI models, and MaxDiffusion, a collection of reference implementations of various diffusion models.
https://pytorch.org/blog/finetune-llms/
We demonstrate how to finetune a 7B parameter model on a typical consumer GPU (NVIDIA T4 16GB) with LoRA and tools from the PyTorch and Hugging Face ecosystem with complete reproducible Google Colab notebook.
https://pytorch.org/blog/understanding-gpu-memory-2/
This is part 2 of the Understanding GPU Memory blog series. Our first post Understanding GPU Memory 1: Visualizing All Allocations over Time shows how to use the memory snapshot tool. In this part, we will use the Memory Snapshot to visualize a GPU memory leak caused by reference cycles, and then locate and remove them in our code using the Reference Cycle Detector.
https://pytorch.org/blog/compiling-numpy-code/
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
https://seis.bristol.ac.uk/~enicgc/pubs/2000/svmintro.pdf
https://www.cs.toronto.edu/~duvenaud/cookbook/
https://arxiv.org/abs/2009.10862
https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83
https://www.youtube.com/playlist?list=PLqYmG7hTraZBKeNJ-JE_eyJHZ7XgBoAyb
https://blog.research.google/2023/09/distilling-step-by-step-outperforming.html?m=1