Computer simulation, programming, software, technology, research, and more (since 2007)
In my previous blog post about the Intel AI Playground, I tested it by asking it to draw cars. In this post, I share some more exploration of these local AI models and their limitations. Turns out that cars are easy, other things not so much…
Continue reading “More Exploration of (Local) AI Models”I recently built a new desktop computer, featuring an Intel ARC 770 graphics card (just to be different). The card is supported by the Intel AI Playground, which is a software package that makes it dead easy to run AI/large language models (LLM) locally on my GPU. I was curious as to just what this could do, as compared to the big AI models that run on cloud servers.
Continue reading “Hi Local AI, Draw Me …”
ChatGPT and other transformer-based models like Dall-E are technologically very impressive. They do things that seemed totally impossible just a few years ago. However, they are not really generally intelligent, and there are innumerable problems with how they work, what they do, what people think they do, ethics, and legal and licensing issues. This is my third post about ChatGPT, where I present my critique of and reflections on the technology. The previous posts were about ChatGPT and Simics and Coding using ChatGPT.
Continue reading “ChatGPT and Critique”
At the ISCA 2014 conference (the biggest event in computer architecture research), a group of researchers from Microsoft Research presented a paper on their Catapult system. The full title of the paper is “A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services“, and it is about using FPGAs to accelerate search engine queries at datacenter scale. It has 23 authors, which is probably the most I have ever seen on an interesting paper. There are many things to be learnt from and discussed about this paper, and here are my thoughts on it.
Continue reading “Microsoft Catapult – Real Interesting Research at Real Scale”