Inspired by 17+ years of real-world AI/ML events & projects
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 39 | Founded | 2 years ago | Last Issue | 6 days ago |
| Active | |||||
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jamwithai.substack.comLatest Issues
Harness Engineering: Evolution of MLOps to AutoMLOps
Hey there 👋,
Everyone is talking about Karpathy’s AutoResearch, or at least almost done talking about it.
The idea is simple and intuitive: an AI coding agent, like Claude Code, Codex, or a similar tool, reads a research-direction fil...
The Production AI/ML Engineer's Guide to A/B Testing
Hi there 👋,
If you build or ship AI systems for a living, you've probably felt this in the last year or so. The slow part of the job used to be getting something into production. It isn't anymore, and that quietly changes what the rest of...
ML and LLM Inference Latency: 10 techniques every AI/ML engineer should know
Hi there 👋 ,
There’s a moment in every AI/ML engineer’s career when latency stops being a model problem and becomes a system problem.
It usually happens around the time the first wave of real traffic hits production. The model runs fine...
When to use - MCP vs API vs Function/Tool calling in your AI Agent
Hi there 👋 ,
If you’ve been building AI agents or following the space, you’ve run into this exact confusion: should I use a direct API call, function/tool calling, or MCP?
The internet is full of takes. Some people treat MCP like the sec...
System Design for AI Engineers: 7 patterns you should know in your interviews
There is a question that separates AI engineers who get offers from those who don’t, and it has nothing to do with model architectures.
It sounds like this: “How would you deploy and scale this system in production?”
Most ML engineers fre...
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Authors
The writers behind this newsletter.
A Senior Data Scientist with 7+ years of hands-on experience in Data Science, Machine Learning, and MLOps. I’m currently working deeply on LLMs and AI agents in production!
Head of AI/ML with 10+ years experience in Machine Learning and MLOps. Focused on AI Agents, RAG-systems, Search, Recommendations & NLP
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