Bi-weekly decoded AI papers and implementation notes for AI engineering.
Working code, honest tradeoffs, and real datasets — from a practitioner applying recent AI/ML research under the same constraints you face.
What you'll get
- — AI papers decoded with practical insights
- — New paper implementations you can actually run
- — The decisions, adaptations, and tradeoffs behind each one
- — Tools that worked (and the ones that didn't)
- — Links to notebooks and repos, always
Who this is for
Practitioners applying AI in public health, data science, and adjacent fields — building real systems with standard tools and modest compute, under the same constraints most teams actually face.
The Decoded Dispatch
Bi-weekly implementation notes for practitioners applying AI in public health and data science.
No spam. Unsubscribe at any time.
About the author
I'm Mayer Antoine. DecodedPapers documents how I take architectures and techniques from recent AI/ML papers, implement them on real datasets, and adapt them to solve practical problems. Every post is a working implementation with documented decisions, adaptations, and tradeoffs — something you can run, customize, and carry into your own work.
Recent issues
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Building a Domain-Specific Deep Research Agent for Public Health
Build a domain-specific multi-agent deep research system for public health evidence synthesis — with intent refinement, outline negotiation, gated memory, and source-level citations using Claude and Anthropic's tool-use API.
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Deep Research Agents Explained: Architecture, Types, and Practical Applications
Decode how Deep Research Agents work — from LLM reasoning and tool use to multi-agent architectures — covering agent types, practical use cases, limitations, and responsible adoption, based on evidence from multiple systematic reviews.
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Multi-Agent Conversational Recommender System: Agentic Patterns with OpenAI Agents SDK
Build a multi-agent conversational recommender system using agentic design patterns — hub-and-spoke orchestration, parallel agent execution, and reflection loops with the OpenAI Agents SDK.
The Decoded Dispatch
Bi-weekly implementation notes for practitioners applying AI in public health and data science.
No spam. Unsubscribe at any time.