Row 5108

Row ID: 5108 | Dataset Entry | Axioma AXP Content Repository

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- Apple introduced eight small AI language models called OpenELM that can run directly on smartphones.

- The models are available under the Apple Sample Code License and are currently on Hugging Face.

- These models are proof-of-concept research models and come in two types: pretrained and instruction-tuned.

- Apple's approach with OpenELM includes a layer-wise scaling strategy to improve performance and efficiency.

- The company also released the code for CoreNet, a library used to train OpenELM, to empower the open research community.

Source : https://arstechnica.com/information-technology/2024/04/apple-releases-eight-small-ai-language-models-aimed-at-on-device-use/

FieldValue
text - Apple introduced eight small AI language models called OpenELM that can run directly on smartphones. - The models are available under the Apple Sample Code License and are currently on Hugging Face. - These models are proof-of-concept research models and come in two types: pretrained and instruction-tuned. - Apple's approach with OpenELM includes a layer-wise scaling strategy to improve performance and efficiency. - The company also released the code for CoreNet, a library used to train Op…
label r/artificial
dataType post
communityName r/artificial
datetime 2024-04-26
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Raw Record

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  "text": "- Apple introduced eight small AI language models called OpenELM that can run directly on smartphones.\n\n- The models are available under the Apple Sample Code License and are currently on Hugging Face.\n\n- These models are proof-of-concept research models and come in two types: pretrained and instruction-tuned.\n\n- Apple's approach with OpenELM includes a layer-wise scaling strategy to improve performance and efficiency.\n\n- The company also released the code for CoreNet, a library used to train OpenELM, to empower the open research community.\n\nSource : https://arstechnica.com/information-technology/2024/04/apple-releases-eight-small-ai-language-models-aimed-at-on-device-use/",
  "label": "r/artificial",
  "dataType": "post",
  "communityName": "r/artificial",
  "datetime": "2024-04-26",
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