@trylogical You can try out the @RunAnywhereAI SDK for running your optimized models with production ready infra, we have mac support in native Swift in Beta.
This dynamic will persist until inference moves on device and marginal cost of a prompt is zero. Only then will the AI app ecosystem bloom
@RunAnywhereAI makes it easy for you to deploy at Scale, whether your user has a $50 Oppo or a $1,200 iPhone 17 Pro Max.
On-device isn’t hypothetical. It’s shipping. 100k+ tokens processed locally across 550 devices with @RunAnywhereAI
if you're already starting to fine-tune open source models for smaller tasks, using something like the @runanywhereai sdk can let you offload some of the inference to user devices, lowering cloud inference costs and latency but there's probably more fun/unique applications i'm…
if your AI girlfriend is not a LOCALLY running fine-tuned model, she’s a prostitute.
Accelerated computing running on the edge will enable this
United States 趋势
- 1. #UFC322 171K posts
- 2. Islam 279K posts
- 3. Morales 37.6K posts
- 4. Valentina 16.2K posts
- 5. Prates 35.7K posts
- 6. Sark 6,121 posts
- 7. Kirby 18.9K posts
- 8. Georgia 90.5K posts
- 9. Ilia 6,352 posts
- 10. Khabib 10.1K posts
- 11. Zhang 27.2K posts
- 12. Ole Miss 12.5K posts
- 13. Dagestan 2,319 posts
- 14. #GoDawgs 9,754 posts
- 15. Leon 75.1K posts
- 16. Arch 22.7K posts
- 17. Sean Brady 6,988 posts
- 18. Dillon Danis 11.4K posts
- 19. Tanner Wall N/A
- 20. Usman 10.7K posts
Something went wrong.
Something went wrong.