Update spiceaidocs/docs/intelligent-applications/index.md

spiceaidocs/docs/intelligent-applications/index.md

@@ -15,4 +15,4 @@ With Spice.ai OSS, federated data and ML models are colocated with applications,
 
 Dataset definitions and ML Models are packaged as Spicepods and can be published and distributed through the [Spicerack.org](https://spicerack.org) Spicepod registry. Federated datasets are locally materialized, accelerated, and provided to colocated Models. Applications call high-performance, low-latency ML inference APIs for AI generation, insights, recommendations, and forecasts ultimately to make intelligent, AI-driven decisions. Contextual application and environmental data is ingested and replicated back to cloud-scale compute clusters where improved versions of Models are trained and fined-tuned. New versioned Models are automatically deployed to the runtime and are A/B tested and flighted by the application in realtime.
 
-<img width="900" alt="OGP" src="https://github.com/spiceai/docs/assets/80174/22b02c5e-5fcb-4856-b79d-911ac5d084c6">
+<img width="900" alt="OGP" src="https://github.com/spiceai/docs/assets/80174/22b02c5e-5fcb-4856-b79d-911ac5d084c6" />