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    4 blog available in the Stable Diffusion directory

    Articles, tutorials, and deep dives on this AI platform — from getting-started guides to advanced techniques and real-world use cases.

    Porting Gemma-4 (2B / 4B / 12B) to AWS Inferentia2machinelearning

    Porting Gemma-4 (2B / 4B / 12B) to AWS Inferentia2

    A field report on running Google's Gemma-4 on AWS Inferentia2: mixed attention heads, the vLLM / optimum-neuron / NxD dead-ends, and the neuronx-cc compiler limits.

    X
    xbill
    How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)machinelearning

    How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean)

    A practical, no-hype explainer of knowledge distillation in LLMs — the actual mechanics, why distilling from a closed API is different, and what the OpenAI/Anthropic vs DeepSeek allegations are really about.

    S
    Sergei Parfenov
    I Rebuilt Karpathy's NanoChat in JAX. Here's What XLA Gets Right and What It Gets Dead Wrong.machinelearning

    I Rebuilt Karpathy's NanoChat in JAX. Here's What XLA Gets Right and What It Gets Dead Wrong.

    AI GDE TPU Sprint 2026 · Google TPU Research Cloud Quick summary: We ported Andrej Karpathy's...

    O
    Omotayo Aina
    Fine-Tune Any HuggingFace Model like Gemma on TPUs with TorchAXmachinelearning

    Fine-Tune Any HuggingFace Model like Gemma on TPUs with TorchAX

    Learn how to fine-tune PyTorch HuggingFace models on Google TPUs using torchax and LoRA — no JAX rewrite needed. Includes evaluation, save/reload, and a Colab notebook.

    A
    Ahmed Elnaggar

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