BitNet Explained: The 400MB Model That Matches Multi-Gigabyte Performance
Ditching the GPU: How Microsoft’s 1-Bit AI Democratizes LLM Deployment The promise of powerful, personal AI has always been hampered […]
AI Engineering
Technical deep dives into building intelligent systems: model design, training pipelines, and deployment strategies.
Smarter, Faster, Cheaper: Why Mixture of Experts is the Future of LLMs
In the world of Large Language Models (LLMs), the mantra has always been “bigger is better.” But as models grow
The AI Chip Trio: Understanding GPUs, TPUs, and NPUs
The AI Chip Trio: Understanding GPUs, TPUs, and NPUs In the rapidly evolving world of Artificial Intelligence, you’ve likely heard
A Developer’s Guide to Implementing AI Service Platforms on AWS, GCP, and Azure
Dive into the world of cloud AI with this comprehensive guide on how to build and deploy AI solutions on
☁️ Implementing AI Service Platforms on AWS, GCP, and Azure
A Practical Guide to Building Scalable AI Solutions in the Cloud Cloud platforms have revolutionized how we build and deploy
AI Agents: The Next Leap in Intelligent Systems
High-level architecture of an AI Agent, showing the loop from goal setting to planning, reasoning, action, and iteration — with perception and memory feeding the decision process.
Ethical Frameworks for Multimodal Reasoning
Designing AI Systems That Think Responsibly Across Modalities As multimodal AI agents become more capable — interpreting images, text, audio,
Edge Deployment Using Quantized Models
Making AI Lightweight, Fast, and Ready for the Real World As AI systems grow more powerful, they also grow heavier
Building Multimodal AI Agents
How I Design Systems That See, Read, and Reason Artificial intelligence is evolving beyond single-task models. Today’s most powerful systems
The Craft of AI Engineering
Designing Intelligent Systems That Think, Learn, and Adapt Welcome to the first post in my AI Engineering series — a