Palaeontologist: Dinosaur Footprints – Biomechanics – Simulation
I've been running Hermes Agent — an open-source AI agent framework by Nous Research — for a few weeks now, and I'm genuinely impressed with it. If you haven't seen what it's been doing for me, I wrote about that recently. What I haven't mentioned is that I've got it running on four machines simultaneously,... Continue Reading →
Oh dear. Found this option in wordpress experimental features. Gave it a try. Is this useful to anyone? It weirds me out a bit. Anyway, transcript below: Pip: Prof. Peter Falkingham has been doing what academics do best: turning a simple question into a multi-week infrastructure project, then writing about it thoughtfully enough that you're... Continue Reading →
I've been writing posts here about getting set up with local AI, agents, harnesses, and what I've done with them. It's fun, and it stretches my computer legs in a way they haven't been stretched recently. But I can't shake this nagging feeling that it's all a colossal waste of time, because everything's moving so... Continue Reading →
[note May '26 - this post is a bit out of date now. By far the easiest way forward is to install LM studio and run your models there. Hook them up to VS code with the 'Continue' add on, or install opencode, as I've detailed in this post.] I've found VC Code copilot to... Continue Reading →
The user encountered challenges while attempting to use various methods to feed information into local Large Language Models (LLMs) via RAG (Retrieval-Augmented Generation). They explored methods such as Nvidia Chat with RTX, Ollama with Python scripts, and Ollama with Open-webui. Results varied, with some methods providing inaccurate or incomplete outputs. Comparatively, Microsoft Co-pilot, running GPT4-Turbo, significantly outperformed the local methods.
Prof. Peter L. Falkingham 