sync readme.md to index.md (#860)

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# Llama Stack
Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments.
Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments. More specifically, it provides
- **Unified API layer** for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
- **Plugin architecture** to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile.
- **Prepackaged verified distributions** which offer a one-stop solution for developers to get started quickly and reliably in any environment
- **Multiple developer interfaces** like CLI and SDKs for Python, Node, iOS, and Android
- **Standalone applications** as examples for how to build production-grade AI applications with Llama Stack
We focus on making it easy to build production applications with the Llama model family - from the latest Llama 3.3 to specialized models like Llama Guard for safety.

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- Federation and fallback support
- No vendor lock-in
**Robust Ecosystem**
-Llama Stack is already integrated with distribution partners (cloud providers, hardware vendors, and AI-focused companies).
-Ecosystem offers tailored infrastructure, software, and services for deploying Llama models.
### Our Philosophy