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Continue reading →Introduction of AI-driven software tools has changed the way I code up small project. I am still learning. This blog post documents an experiment I did that: It was an interesting exercise both to see what I could do with … Continue reading →
I’ve had a hobby of small programming projects to solve various curiosities I encounter. The ecosystem for such projects has changed dramatically with the introduction of AI coding tools. Outside work, I’ve experimented most with Github Copilot and Google Antigravity. … Continue reading →
This study compares the performance of local LLMs on a coding related question about the Collatz Conjecture. As background, I have been exploring using an HP ZBook Ultra G1a as a local platform for software development. Two key features make … Continue reading →
Some further experiments running ollama with local language models. After my previous experiments, I got a further strix halo laptop (ryzen AI 395). In particular, this one had 128GB of memory instead of 64GB. This is important because this chip … Continue reading →
I have been playing around with setting up my Strix Halo laptop so it can run LLMs locally. I found a guide here that was helpful to get a reliable connection (for now using Vulkan, though I’d like to see … Continue reading →
Will AI replace programmers? I don’t think there will be a wholesale replacement, but it is interesting to see the recent advancements of AI coding tools. I’ve used Github CoPilot for a little while and also played around with continue.dev … Continue reading →
AI assistants continue to grow in capability. I am particularly intrigued by recent additions of “deep research” that essentially do web searches to collect information and then create an overall summary. Below is my experience trying to use Google Gemini … Continue reading →