The Neural Maze
Miguel Otero Pedrido, Antonio Zarauz Moreno, Christophe Reigner, Alex Razvant, BrunoBecome a real Machine Learning Engineer In a World Full of Hype
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 152 | Founded | 2 years ago | Last Issue | 7 days ago |
| Active | |||||
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theneuralmaze.comLatest Issues
Error Analysis for Durable Agents
Hey friends, today is the day!
Error analysis, a six-mode failure taxonomy, deterministic checks, binary LLM judges calibrated with TPR and TNR, durable evals on Inngest… it's all in here.
But looking back, every lesson so far has also...
NVIDIA GTC Berlin 2026, explained for AI Engineers
Hey builders 👋
I have some exciting news!
This Saturday, October 31, at 16:30 PM CET, I'm going live with my good friend Alex Razvant from The AI Merge.
Alex was invited to NVIDIA GTC Berlin 2026, and he's coming back with a full techn...
Knowledge Graphs for Production RAG
Phew, what a Live Session today!
During the first half, we covered the design choices we followed to create a Memgraph Locked Ontology.
And we also see all of this in action!
Then the one and only joined the session and shared some of h...
Knowledge Graphs for Production RAG
Hey friends! 👋
Welcome back to The Substack Brain! This is Lesson 4 of our free six-week course, where we build a living knowledge base from the AI engineering newsletters you actually want to read, one production problem at a time.
- *...
Temporal Versioning for Production RAG Systems
Substack Brain Course · Office Hours 3 / 6
Here's the recording of our third Office Hours session for the Substack Brain Course. Before diving in, be sure you've worked through the preceding articles, as this session builds on them.
Key Facts
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Authors
The writers behind this newsletter.
ML / AI Engineer | Founder @ The Neural Maze - Just a guy who builds AI Systems that actually work
Mathematician teaching machines to see, hear, read and speak.
I’m Alex Razvant, a Senior AI/Software Engineer at Axon. I write about AI Systems, helping engineers understand the fundamentals, engineering, and production aspects of AI.
Try stuff, fail, 𝐬𝐭𝐚𝐫𝐭 𝐚𝐠𝐚𝐢𝐧. On repeat.
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