Why AI System Design Demands a New Engineering Mindset
7 min read
AI engineering requires a shift from deterministic logic to data-driven inference. Explore the mindset and tools needed for modern AI development.
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Engineering the future: AI, systems, and business insights
How Different AI Learning Methods Drive Real-World Solutions
8 min read
Explore AI from supervised to reinforcement learning in this guide connecting theory to real-world use—ideal for AI builders and tech-curious readers alike.
The Pillars of Progress: A Guide to AI's Evolutionary Stages
8 min read
Unlock the complexities of AI. This guide explains Traditional AI, GenAI, AGI, & ASI, showing Artificial Intelligence is far more than generative models.
How Distributed Systems Manage Workloads
14 min read
Learn how scheduling works in distributed systems, from priority queues to workload management, ensuring efficient task execution at scale.
Beyond One Model: How AGI Will Actually Work
10 min read
True artificial general intelligence won’t be one model but a system of intelligent components. Learn why system design is the key to AGI.
LLMs Are Not Intelligent—And That's Okay
10 min read
LLMs are powerful but don’t 'think'—they recognize patterns. This post explores what they are, how they work, and why understanding their limits is crucial.
System Design Principles for Long Term Success
10 min read
Build scalable, maintainable systems with modularity, simplicity, and flexibility. Learn key design principles for resilient and future-proof architectures.