Understanding AI Systems | DataGuy

Understanding AI as Systems

This page organizes DataGuy work around how AI behaves in real conditions. It examines models, context, agents, and orchestration with a focus on decisions, constraints, and reliability.

I. Foundations

Core AI & ML guides to ground your learning journey.

II. Large Language Models (LLMs)

Explore providers, architectures, and application patterns.

III. Prompt Engineering

Techniques, frameworks, and business‑ready playbooks.

IV. Retrieval‑Augmented Generation (RAG)

Blend search + synthesis for grounded answers.

V. AI Agents

From single‑agent tools to multi‑agent orchestration.

VI. Contextual Engineering

Design the layer that connects models, memory, tools, and users.

VII. Agentic AI

From reasoning to collaboration - systems that plan and act.

VIII. AI Protocols

Interoperability stacks for agents and tools.

IX. AI Research & Media

Stay current with newsletters and visual stories.

© DataGuy.in | Examining AI systems in real-world conditions.