Streamlining LLM Inference at the Edge with TFLite

XNNPack, the default TensorFlow Lite CPU inference engine, has been updated to improve performance and memory management, allow cross-process collaboration, and simplify the user-facing API.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog

XNNPack, the default TensorFlow Lite CPU inference engine, has been updated to improve performance and memory management, allow cross-process collaboration, and simplify the user-facing API.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog


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Google Developers Blog | Sciencx (2024-08-13T17:26:50+00:00) Streamlining LLM Inference at the Edge with TFLite. Retrieved from https://www.scien.cx/2024/08/13/streamlining-llm-inference-at-the-edge-with-tflite/

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" » Streamlining LLM Inference at the Edge with TFLite." Google Developers Blog | Sciencx - Tuesday August 13, 2024, https://www.scien.cx/2024/08/13/streamlining-llm-inference-at-the-edge-with-tflite/
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" » Streamlining LLM Inference at the Edge with TFLite." Google Developers Blog | Sciencx [Online]. Available: https://www.scien.cx/2024/08/13/streamlining-llm-inference-at-the-edge-with-tflite/. [Accessed: ]
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» Streamlining LLM Inference at the Edge with TFLite | Google Developers Blog | Sciencx | https://www.scien.cx/2024/08/13/streamlining-llm-inference-at-the-edge-with-tflite/ |

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