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README.md
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Training: Trained on the C4 dataset for over 500,000 steps (~8 hours on a TPU v3-8).
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Frameworks: Built with JAX, Flax, and Optax.
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Deployment: A live demo was created using Gradio.
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https://
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My Journey
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This project was a deep dive into the real-world challenges of MLOps, including debugging file corruption, solving JAX compiler errors (XlaRuntimeError), and managing long-running jobs in a cloud environment. It was built with the help of an AI assistant for debugging and guidance.
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Training: Trained on the C4 dataset for over 500,000 steps (~8 hours on a TPU v3-8).
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Frameworks: Built with JAX, Flax, and Optax.
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Deployment: A live demo was created using Gradio.
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See this please:
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https://github.com/skibidibrainrot20times/wigip-1-jax-model.git
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My Journey
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This project was a deep dive into the real-world challenges of MLOps, including debugging file corruption, solving JAX compiler errors (XlaRuntimeError), and managing long-running jobs in a cloud environment. It was built with the help of an AI assistant for debugging and guidance.
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