Architecting Intelligence
Pawan K JhaDeep dives into AI/ML systems, LLM engineering, RLHF, agentic AI, distributed training, and the infrastructure powering modern AI.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 64 | Founded | a year ago | Last Issue | 10 days ago |
| Active | |||||
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pawankjha.substack.comLatest Issues
The Architecture Behind Modern ML Systems — Part 2: Agent Evaluation Systems
A Note on the Series and Parts
The Architecture Behind Modern ML Systems is a technical deep-dive series exploring the fundamental architectural problems behind modern ML, AI, and LLM infrastructure.
Rather than studying frameworks an...
Introducing Round Zero: Building AI Interview Intelligence with World-Model-Inspired Systems
I’ve been working on Round Zero, an AI interview practice and interview intelligence platform for ML/AI and software engineering interviews.
Rather than stopping at mock interviews and scores, Round Zero uses a world-model-inspired archite...
Building Depth #3 — The Evolution of Re-ranking and Slate Optimization
Cracking ML System Design Interviews · Deep dives into Part 2: Design a Search and Ranking System
A Note on the Series and Parts
Architecting Reinforcement Learning for LLMs — Part 3: Reward Modeling: Training, Scaling, and Failure Modes
From preference data to an optimization target: architectures, objectives, scaling tradeoffs, and reward exploitation.
A Note on the Series and This Part
Architecting Foundation Models: An Architecture Map
The Transformer gave us a powerful foundation for language models. But the architecture map has grown far beyond a single backbone or a single way to generate text.
Some models route tokens through experts. Others reuse layers to compute f...
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Authors
The writers behind this newsletter.
Sr. Principal AI/ML Scientist & Systems Architect with nearly two decades building production AI/ML systems. I write deep dives on LLM inference, ML platforms, GenAI infrastructure, and production AI.
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