Category
9 post s
DevelopmentAI
What I learned fine-tuning speech models locally · Part 2
I fine-tuned whisper-small on 7.7 hours of real spontaneous speech and made it 2.6 times worse. I had a tidy explanation for it, so I tested the explanation, and the test said I was wrong.
DevelopmentAI
Make the most of cheap compute to do cool things.
DevelopmentTechnology
What I learned fine-tuning speech models locally · Part 1
AMD makes compelling hardware and backs open source, but CUDA is still the default. Here's a little taste of how to change that.
DevelopmentAI
Locally fine-tuning Whisper and ASR models with Listenr · Part 2
A walkthrough of how to fine-tune Whisper end to end with Listenr, fully locally.
DevelopmentAI
Firefox's AI chatbot sidebar can talk to a local Lemonade server. One CLI command and one about:config flip and your prompts never leave your machine.
AIResearch
Locally fine-tuning Whisper and ASR models with Listenr · Part 1
Whisper is impressive and its vocabulary stopped in 2023. Fine-tuning fixes that, but only if you have high quality data, and getting that is the part nobody wants to do.
TechnologyAI
After hitting walls with FreeCAD, TinkerCAD, and Fusion 360, I discovered that scripting 3D models in OpenSCAD with an LLM produces precise, reusable parts faster than any GUI-based workflow I tried. Two prompts into ChatGPT, I had a working pipe reducer printed and in hand.
DevelopmentTechnology
Using LLMs to generate deterministic scripts rather than running real-time AI agents is a more reliable, testable, and repeatable approach to automation. This post explains the strategy, shares real examples from managing this blog, and covers how to keep the output production-ready.
TechnologyOpinion
Large language models are changing the calculus on when to reach for a third-party library versus generating a lightweight, purpose-built implementation. This post examines the tradeoffs and where a hybrid approach of GenAI-generated code refined by a developer makes the most practical sense.