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Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness.
Features
- Harnesses existing infrastructure, the AI accelerator or other hardware of your choosing
- Integrates with enterprise software, with heterogeneous support and stability across system & network
- Brings together best of breed innovations and is free from proprietary vendor lock-in
- Runs everywhere through a flexible architecture built for cloud, data center, edge and PC
- Features a secure enterprise-ready pipeline and tools for responsibility, transparency, and traceability
- Access to a vibrant ecosystem of partners to help build and scale your solution
Project Samples
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Released /v1.2/README.md
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Released /v1.1/README.md
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Categories
LibrariesLicense
Apache License V2.0Follow Generative AI Examples
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