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 | 61 | Founded | a year ago | Last Issue | 7 days ago |
| Active | |||||
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pawankjha.substack.comLatest Issues
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...
Looped Transformers: Can Models Think Longer Without Generating More Tokens?
Can models think longer without generating more tokens?
In the first episode of Architecting Foundation Models, we explore looped transformers: how they reuse layers for iterative computation, how recurrent depth differs from a standard tr...
Architecting Agentic AI — Part 1: The Agentic Design Framework
When to use a workflow, when to use an agent, and how much autonomy to give it
A Note on the Series
Building the Architecting Intelligence Learning Ecosystem
Hi everyone,
I want to share an important update about what I’m building around Architecting Intelligence—and where we are heading next.
Architecting Intelligence is becoming more than a publication.
I’m building a connected learning eco...
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| Subscribers | Engagement | 72 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
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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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