AI Weekender
Claudia NgI write weekly for data scientists and engineers building with AI tools and coding agents.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 76 | Founded | 2 years ago | Last Issue | 11 days ago |
| Active | |||||
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aiweekender.substack.comLatest Issues
Set Up a $0 Cloud VM to Run Your Hermes Agent (Part 1)
How to get a free-tier cloud VM you can SSH into and leave running 24/7.
In this post, I showed what a Hermes agent on Telegram looks like in daily use. Over the next two weeks, I’ll be sharing step-by-step guides on how I set this up so y...
I Built a $0 Hermes Agent I Text From Telegram
I set up Hermes agent on my laptop for $0 a few weeks ago using NVIDIA’s free API tier. I’ve been using it for research, but the moment I shut my laptop, the session ends.
I wanted it on my phone around the clock, so I ran Hermes on a smal...
My $0 Hermes Agent Setup
I’ve been wanting to try Hermes for a while. It’s an open-source agent from Nous Research with persistent memory and skills across sessions, and you can enable tools to give it access to files, terminal, web, browser etc.
My one constraint...
Prompt vs RAG vs Fine-Tuning: Which Fix Do You Need?
The worst feeling on an AI project is realizing you fixed the wrong thing.
Prompting, retrieval, and fine-tuning are all valid solutions to improve LLM results. But they fix different failures, and picking the wrong one can be a costly mis...
How I Fine-tuned Qwen3-4B on a Single GPU in 5 Steps
0% → 83% correctly classified banking support messages: fine-tune a small LLM to classify customer intent.
For this week’s technical deep dive, I fine-tuned a small LLM (Qwen3-4B-Instruct-2507) on Banking77. This is a public dataset of 13k...
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I write weekly for data scientists and engineers building with AI tools and coding agents | ML Engineer at Silicon Valley FinTech startups | Harvard alum | PyCon Austria 2026
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