Breaking down Microsoft code and products and helping you make sense of it.
Enterprises seeking to integrate AI can choose from three architectures: GPTs with prompt engineering for simple applications, Retrieval-Augmented Generation (RAG) for domain-specific queries leveraging internal data, and fine-tuning models for advanced customization. Each option caters to different AI maturity levels, enabling organizations to optimize AI usage efficiently and effectively.
Enterprises are increasingly adopting AI-driven chatbots to enhance efficiency and employee support, particularly using Retrieval-Augmented Generation (RAG) for accurate HR information. Copilot Studio simplifies chatbot creation, leveraging internal SharePoint data to provide precise answers while ensuring data security and scalability, ultimately improving employee satisfaction and streamlining HR processes.
The Real AI Bottleneck: Your Messy SharePoint By now we all know – AI is here, and it’s reshaping industries.…
The AI community has grown tremendously, providing vast learning opportunities. Microsoft’s Semantic Kernel offers Plugins, Planners, and Personas, enabling autonomous AI agents to perform complex tasks. These components work in unison to revolutionize automation and decision-making, tailored for various enterprise uses. __JETPACK_AI_ERROR__
GPT models are powerful for text generation, but prompt engineering is key. Clear, precise instructions enhance model responses, while defining output format and using separators improve clarity. Understanding system, user, and assistant messages is crucial. Advanced techniques like chain of thought prompts and few-shot learning can boost results. Tips include experimentation and using the right tools for successful prompt engineering.
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