The Neural Maze
Miguel Otero Pedrido, Antonio Zarauz MorenoBecome a real Machine Learning Engineer In a World Full of Hype
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 105 | Subscribers | Read | theneuralmaze.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
The Finetuning Course the AI Community Deserved
Eight weeks ago, Antonio Zarauz Moreno and I set out to build the Finetuning Course we wished had existed when we started.
From Finetuning to Deployment in One Live Session
Here’s the recording from yesterday's live session, covering the Week 8 content of the Finetuning Sessions.
Run the World's Best OCR on Your Own Laptop
In the previous article, "A Practical Guide to LLM Inference at Scale", we explored the theory behind serving large language models efficiently — from quantization strategies to deployment architectures.
A Practical Guide to LLM Inference at Scale
So far in this series, we've stayed firmly in model-land — architectures, training loops, finetuning tricks. All important stuff. But at some point, you need to actually serve the thing. And that's where it gets humbling.
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Authors
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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.
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