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docs/on-device-ai-goes-mainstream.mdx

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@@ -76,7 +76,7 @@ Large foundation models (LLMs) remain costly and centralized. In contrast, [**Sm
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This makes them ideal for **local AI** scenarios: assistants, semantic search, or multimodal apps running directly on-device. However....
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### Frontier AI Models are still getting bigger and costs are skyrocketing
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<img src="/img/edge-ai/slm-quality-cost.png" alt="SLM quality and cost comparison" />
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<img src="/img/edge-ai/llm-costs-still-skyrocketing.png" alt="SLM quality and cost comparison" />
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### Why this matters for developers: Monetary and hidden costs of using Cloud AI
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- **Dependency**: Few tech giants hold all major AI models, the data, and the know-how, and they make the rules (e.g. thin AI layers on top of huge cloud AI models will fade away due to vertical integration)
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- **Data privacy & compliance**: Sending data around adds risk, sharing data too (what are you agreeing to?)
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- **Sustainability**: Large models consume waqy more energy, and transmitting data unnecessarily consumes way more energy too (think of this as shopping apples from New Zealand in Germany) ([Sustainable Future with Edge Computing](https://objectbox.io/why-do-we-need-edge-computing-for-a-sustainable-future/)).
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<img src="/img/edge-ai/slm-quality-cost.png" alt="SLM quality and cost comparison" />
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<img src="/img/edge-ai/why-llm-costs-and-energy-consumption-impacts-developers.png" alt="SLM quality and cost comparison" />
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### What about Open Source AI Models?
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Yes, they are an option, but be mindful of potential risks and caveats. Be aware that you also pay to be free of liability risks.
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<img src="/img/edge-ai/slm-quality-cost.png" alt="SLM quality and cost comparison" />
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<img src="/img/edge-ai/opensource-ai-models.png" alt="SLM quality and cost comparison" />
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### While SLM are all the rage, it's really about specialised AI models in Edge AI (at this moment...)
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<img src="/img/edge-ai/slm-quality-cost.png" alt="SLM quality and cost comparison" />
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<img src="/img/edge-ai/for-mobile-it-is-specialized-models-not-SLM.png" alt="SLM quality and cost comparison" />
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## On-device Vector Databases are the second essential piece of the Edge AI Tech Stack
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