What is recorded here?
Integrated device and server language models with mixed-bit compression, task adapters and post-training procedures including teacher-committee rejection sampling and mirror-descent-based preference optimization.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
One original integrated training/inference system, not a new invention of LoRA, GQA or low-bit quantization. Device latency is hardware/prompt dependent; provider privacy principles and preference tests are not independent privacy or safety guarantees.
Read the original work
- Apple Intelligence Foundation Language Models
- Apple: efficient device/server foundation-model adaptation — author/company record
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities. The recorded author list is incomplete.
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English catalogue narrative
Apple: efficient device/server foundation-model adaptation
Integrated device and server language models with mixed-bit compression, task adapters and post-training procedures including teacher-committee rejection sampling and mirror-descent-based preference optimization.
Scientific scope
One original integrated training/inference system, not a new invention of LoRA, GQA or low-bit quantization. Device latency is hardware/prompt dependent; provider privacy principles and preference tests are not independent privacy or safety guarantees.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.