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On-Device AI Models and Core ML Tools: Insights From WWDC 2024

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Manage episode 425742296 series 3474148
Contenido proporcionado por HackerNoon. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente HackerNoon o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/on-device-ai-models-and-core-ml-tools-insights-from-wwdc-2024.
Enhance your AI model deployment on Apple devices with the latest updates from WWDC 2024. Discuss improvements in Core ML tools
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #on-device-ai, #apple-wwdc, #core-ml, #on-device-language-models, #palettization-explained, #what-is-quantization, #what-are-core-ml-tools, #new-apple-updates, and more.
This story was written by: @mniagolov. Learn more about this writer by checking @mniagolov's about page, and for more stories, please visit hackernoon.com.
Apple has released updates to its Core ML tools. The updates are aimed at improving the efficiency and effectiveness of deploying machine learning (ML) models on Apple devices. Here is the breakdown of these innovations, how they affect developers, and the advantages for the end users. Core ML Tools (*coremltools*) is a Python package for converting third-party models to format suitable for Core ML.

  continue reading

472 episodios

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iconCompartir
 
Manage episode 425742296 series 3474148
Contenido proporcionado por HackerNoon. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente HackerNoon o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/on-device-ai-models-and-core-ml-tools-insights-from-wwdc-2024.
Enhance your AI model deployment on Apple devices with the latest updates from WWDC 2024. Discuss improvements in Core ML tools
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #on-device-ai, #apple-wwdc, #core-ml, #on-device-language-models, #palettization-explained, #what-is-quantization, #what-are-core-ml-tools, #new-apple-updates, and more.
This story was written by: @mniagolov. Learn more about this writer by checking @mniagolov's about page, and for more stories, please visit hackernoon.com.
Apple has released updates to its Core ML tools. The updates are aimed at improving the efficiency and effectiveness of deploying machine learning (ML) models on Apple devices. Here is the breakdown of these innovations, how they affect developers, and the advantages for the end users. Core ML Tools (*coremltools*) is a Python package for converting third-party models to format suitable for Core ML.

  continue reading

472 episodios

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