🚀🚀🚀 Generative AI Architectures: Check out these tested and deployable architectures that enable use of leading-edge hybrid cloud & AI technologies💥
👉 Retrieval Augmented Generation: Leveraging AI to produce factually correct outputs with relevant data retrieved from external data sources https://www.ibm.com/architectures/hybrid/genai-rag
👉 Conversation with Agent Assist: Using AI-powered agents to facilitate conversations and provide assistance to end-users https://www.ibm.com/architectures/hybrid/genai-agent-assist
👉 Generative Search: The combination of generative AI models with search capabilities; extending the search and retrieval capabilities of search solutions with the content generation and summarization capabilities of LLMs. https://www.ibm.com/architectures/hybrid/genai-generative-search
👉 Modular Reasoning, Knowledge, and Language (MRKL): Expanding the utility of LLMs by giving them access to current information and to proprietary information and systems, and adding expertise for specific tasks or types of tasks such as performing mathematical calculations. https://www.ibm.com/architectures/hybrid/genai-mrkl
👉 Modernization and Code Generation: AI-powered tools that can help modernize and generate code, making it easier to maintain and update your software. https://www.ibm.com/architectures/hybrid/genai-modernization-and-code-generation
👉 AI Augmented Software Development with Agents (Assistants): Revolutionizing the way software development teams operate and provide role-specific assistance (for Product Owner, Scrum Master, Developer, Tester, SRE, Engineer) https://www.ibm.com/architectures/hybrid/genai-augmented-software-development
and many more.
Too many to keep track? 😵💫 Bookmark this page and leverage our IT Architect Assistant or Diagram tools.
If you've tried any of these out, let us know in the comments! 💬
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Trinh Le
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