Deep Dives into the
Future of Intelligence
Free, in-depth whitepapers on Large Language Models, AI Agents, Computer Vision, Responsible AI, and enterprise Agentic AI on AWS — written for engineers and architects.
Featured Whitepapers¶
Case Study: Community Resource Navigator
Design of a cost-aware, location-aware multi-agent platform for finding food, formula and diaper resources on AWS: validation gateway, scheduled data sync, DynamoDB model, and an honest implementation status. Work in progress.
Read case study →Architecting Enterprise-Grade Agentic AI: AgentCore, LangGraph & MCP
A reference architecture for secure, observable, cost-aware multi-agent systems on AWS: orchestration, tool governance, human approval, a formula-based cost model, and when not to use any of it.
Read whitepaper →Vision-Language Models: Modern CV at the Frontier
From ViTs and CLIP to SAM 2, diffusion models, and video understanding — how computer vision converged with language models to power the next generation of multimodal AI.
Read whitepaper →AI Agents: The Next Frontier
How autonomous agents are reshaping software — from ReAct loops and memory systems to multi-agent orchestration at scale.
Read whitepaper →LLMs: Architecture & Applications
A deep dive into transformer architecture, scaling laws, and how large language models are powering the next generation of applications.
Read whitepaper →Responsible AI: Ethics & Governance
Frameworks and principles for building fair, transparent, and accountable AI systems that earn — and keep — human trust.
Read whitepaper →