Compressing the Clock: Scaling from Data Disarray to AI Impact in 18 Months
Aaron Wise
Azure builds a reliable AI platform by combining native services with third-party tools, structured environments, and a cross-functional team.
Tag
retrieval-augmented generation
The Secret Life of Data: How Labels, Embeddings, and Vector DBs Power Intelligence
Aaron Wise
Modern AI depends on integrated ecosystems of labeling, embeddings, vector databases, and feature stores not isolated tools.
From Prompts to Platforms: The Blueprint for Modern AI Systems
Aaron Wise
Modern AI systems use RAG, agentic loops, and prompt chaining to build scalable, reliable platforms.
Bridging the Gap: How Blockchain Oracles Connect Code to Reality
Aaron Wise
Blockchain oracles bridge smart contracts to real-world data using decentralized, verifiable middleware.
Remember Me? Architecting Memory with Model Context Protocol Servers
Aaron Wise
MCP servers provide structured memory management for LLMs, enabling persistent context across sessions and tasks.
Grounding AI: Keeping Foundation Models Rooted in Reality
Aaron Wise
Grounding ensures AI outputs are factually accurate by linking them to real-world data, verified sources, and contextual truth.
Beyond Basic AI: Mastering Advanced RAG Strategies for Precision, Depth, and Relevance
Aaron Wise
Advanced RAG strategies like multi-hop retrieval, re-ranking, and dynamic prompting improve precision and relevance for complex, domain-specific queries.
RAG in Action: Harnessing Retrieval-Augmented Generation for Real-World AI Solutions
Aaron Wise
RAG combines retrieval and generation to produce accurate, context-aware responses by integrating external data into AI models.