I believe one flavor of software that will become more common over time is software that uses (multiple) fine-tuned pretrained AI models as libraries to provide stochastic reasoning capabilities intended to be run on edge computing applications. I realized that was exactly what I was doing while recently building with MediaPipe and Unity, where the… Continue reading Fine-tuned Pretrained AI Models Afford Futuristic Software Capabilities for Edge Apps
Category: AI Engineering
Topics related to AI systems engineering, agentic architectures, and LLM integration
Useful Enums for MediaPipe Hand and Pose Landmarker Model
I’ve been working with Google’s MediaPipe which is a augmented reality (AR) library that can be used on low power devices (such as a phone). Basically MediaPipe is a collection of pre-trained AI that lets a developer do some interesting things. You can use it for single images or video sources such as a webcam.… Continue reading Useful Enums for MediaPipe Hand and Pose Landmarker Model
Robot Talk: The Future of Programming?
Large language models have hit the scene and they represent a large disruption to how work is traditionally done. Programming is no exception. I’ve been using LLMs like chatGPT and copilot for almost a year now. I saw potential of using the tool for my own creator activities. I have some thoughts on how AI… Continue reading Robot Talk: The Future of Programming?
Thoughts on “Generative A.I.” LLMs
After a long hiatus I am finally back. There is a story I can’t wait to tell. For now, lets talk about large language models (LLMs) I have given some thought to LLMs specifically on the source of data LLMs consume. For some context I heavily use chatGPT and GitHub copilot during my hobbyist development.… Continue reading Thoughts on “Generative A.I.” LLMs