Difference between revisions of "Small Model Approach"
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| + | Training a Large Language Model is very expensive and consumes a great deal of memory. For [[Artificial Intelligence]] to become available to all people without exposing their queries to the cloud, a [[Small Model Approach]] to AI is required. | ||
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==Apple== | ==Apple== | ||
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(3) Apple's AI Breakthroughs: Vision, Multimodal AI, and On-Device Agents. https://summaries.getnotable.ai/apples-ai-breakthroughs-vision-multimodal-ai-and-on-device-agents/. | (3) Apple's AI Breakthroughs: Vision, Multimodal AI, and On-Device Agents. https://summaries.getnotable.ai/apples-ai-breakthroughs-vision-multimodal-ai-and-on-device-agents/. | ||
(4) What is Apple Intelligence? - 9to5Mac. https://9to5mac.com/2024/06/11/what-is-apple-intelligence-heres-how-ai-will-change-the-way-you-use-your-iphone/. | (4) What is Apple Intelligence? - 9to5Mac. https://9to5mac.com/2024/06/11/what-is-apple-intelligence-heres-how-ai-will-change-the-way-you-use-your-iphone/. | ||
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==References== | ==References== | ||
* See wiki page on [[MobileLLM]] for an approach targeting [[Smartphone]]s. | * See wiki page on [[MobileLLM]] for an approach targeting [[Smartphone]]s. | ||
[[Category: Artificial Intelligence]] | [[Category: Artificial Intelligence]] | ||
Latest revision as of 14:44, 10 July 2024
Full Title or Meme
Training a Large Language Model is very expensive and consumes a great deal of memory. For Artificial Intelligence to become available to all people without exposing their queries to the cloud, a Small Model Approach to AI is required.
Apple
1. **Apple Intelligence**:
- Apple recently introduced **Apple Intelligence**, a personal intelligence system integrated into iOS 18, iPadOS 18, and macOS Sequoia. - It harnesses the power of Apple silicon to understand and create language and images, take action across apps, and draw from personal context to simplify and accelerate everyday tasks³. - Apple Intelligence is deeply integrated into the operating systems, seamlessly blending generative AI aspects without requiring users to understand the underlying technologies. - The focus is on a frictionless user experience, aligning with Apple's design philosophy.
2. **Small-Model Approach**:
- Unlike other companies that prioritize large models, Apple takes a more pragmatic approach. - Apple Intelligence uses smaller, topic-specific models trained on customized datasets for specific functionality. - These smaller models increase transparency around decision-making and allow users to report issues with the generative AI system. - While more focused, Apple Intelligence can still cover a spectrum of requests thanks to specialized "adapters" for different tasks and styles¹.
Source: Conversation with Copilot, 7/10/2024
(1) Introducing Apple Intelligence for iPhone, iPad, and Mac. https://www.apple.com/newsroom/2024/06/introducing-apple-intelligence-for-iphone-ipad-and-mac/. (2) Why Apple is taking a small-model approach to generative AI. https://techcrunch.com/2024/06/11/why-apple-is-taking-a-small-model-approach-to-generative-ai/. (3) Apple's AI Breakthroughs: Vision, Multimodal AI, and On-Device Agents. https://summaries.getnotable.ai/apples-ai-breakthroughs-vision-multimodal-ai-and-on-device-agents/. (4) What is Apple Intelligence? - 9to5Mac. https://9to5mac.com/2024/06/11/what-is-apple-intelligence-heres-how-ai-will-change-the-way-you-use-your-iphone/.
References
- See wiki page on MobileLLM for an approach targeting Smartphones.