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Understanding Apple's on-device and server foundation models

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Apple announced new AI language models at WWDC. These models run both locally on Apple devices and on Apple’s own Apple Silicon-powered AI servers.
Apple announced new AI language models at WWDC. These models run both locally on Apple devices and on Apple’s own Apple Silicon-powered AI servers.
Artificial Intelligence (AI) relies on language models which provide knowledge input to train AI to produce results for prompts (queries).
Using language models, computers can be trained in specific subjects to act as domain experts on certain topics.
AI alignment refers to the process of designing and implementing AI systems so that they conform to human goals, values, and desired outcomes. In other words, alignment is intended to keep AI on task and not become dangerous by straying from its original purpose.
At WWDC 2024, Apple announced Apple Intelligence – Apple’s own AI which will provide both on-device and server-based AI. By using new models in Apple Intelligence, Apple’s AI will become more focused, faster, and more accurate.
Foundation language models
Apple calls its general generative AI models foundation language models. These models are Large Language Models (LLMs), which use up to 3 billion parameters, and are designed for basic generative AI which most users might want to use.

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