Using Neo4J's graph database for AI in Azure
New techniques make graph databases a powerful tool for grounding large language models in private data.
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New techniques make graph databases a powerful tool for grounding large language models in private data.
Microsoft’s LLM orchestration tools might finally deliver on the three-decade-old promise of autonomous software agents.
Azure AI Studio, while still in preview, checks most of the boxes for a generative AI application builder, with support for prompt engineering, RAG, agent building, and low-code or no-code development.
Available in an early preview, Microsoft’s AI development environment for the desktop lets you build small language models that run on PCs and mobile devices.
Learn the basics of prompt engineering and how it can help you optimize your storage system. Discover the best practices and get started today.