AI Weekender
Claudia NgI write weekly for data scientists and engineers building with AI tools and coding agents.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 74 | Founded | a year ago | Last Issue | 5 days ago |
| Active | |||||
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aiweekender.substack.comLatest Issues
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...
Glossary of Fine-Tuning Methods Explained
Last week I covered when fine-tuning is worth it.
This week is a deep dive into fine-tuning methods and the vocabulary that comes with them, from SFT and LoRA to RLHF and GRPO.
This guide maps each method to what it optimizes and when y...
Fine-Tuning LLMs: When to Do It and When Not To
If you’ve been following AI engineering, you’ll have seen fine-tuning showing up everywhere, from job postings to Hugging Face repos to conference talks.
Fine-tuning is worth knowing if you’re serious about AI engineering or building an AI...
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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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