
AI engineering wout BS
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 174 | Founded | 4 years ago | Last Issue | 9 days ago |
| Active | |||||

This is the second (and last) part of my mega-short-yet-dense tutorial on how to build end-2-end systems using Small Language Models.
Two weeks ago we designed a system that can help prevent wildfires using satellite images. This is what I...
Today I want to share with you a full end-2-end system built around a Small Language Model.
I initially had in mind the idea to publish a single post, today. However, there is so much content and details I don’t want to skip, that I decide...
Today I want to show you how to fine-tune a vision-language model (VLM) to understand satellite imagery.
We will use LiquidAI’s LFM2.5-VL-450M, a compact 450M parameter vision-language model, fine-tuned on the VRSBench dataset using leap-f...
Today I want to show you how to:
generate high-quality synthetic data for fine-tuning,
fine-tune a small 350M parameter model with this dataset, and
deploy the final model into your app.
This is the 2nd part of the tutori...
Today we kick off a hands-on series on running a small language model entirely on your own hardware to control a smart home.
No cloud API keys. No latency to a remote server. No data leaving your home.
Just a local LFM model answering que...
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The writers behind this newsletter.
Citizen of the World who teaches AI that **works** at Liquid AI | Maths Olympian | Father of 1… sorry 2
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