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Beyond neural scaling laws – Paper Explained
Scaling Laws refer to the observed trend of some machine learning architectures (notably transformers) to scale their performance on predictable power law when given more …
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What is retrieval-augmented generation? https://research.ibm.com/blog/retrieval-augmented-generation-RAG
What is retrieval-augmented generation? @ YouTube https://www.youtube.com/watch?v=T-D1OfcDW1M
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LoRA: Low-Rank Adaptation of Large Language Models
https://arxiv.org/abs/2106.09685
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ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as …
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Hummingbird compiles trained ML models into tensor computation for faster inference.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
deep learning …
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