A refreshing departure from conventional ML texts, Chip Huyen's "Designing Machine Learning Systems" (2022) explores the comprehensive architecture needed to bring machine learning solutions into production, making it essential reading for both seasoned ML engineers and newcomers. It is the first book I have read by this author, and it will not be the last.
The Svelte Summit Fall 2024 Virtual Show was packed with exciting talks from various speakers, sharing their experiences and introducing the latest updates to the Svelte ecosystem. Here's a summary of some of the sessions that interested me the most.
Empowering mobile devices with Machine Learning has been a massive success lately. LLMs like ChatGPT are making headlines daily, and people everywhere are utilizing AI and Machine Learning with their mobile devices. For many, implementing machine learning on mobile applications is well beyond what the average user needs to know how to leverage the AI chatbot, image classifier, or recommendation system. However, in this guide, I will be giving an overview of what machine learning on the edge is, and show you how can add it to your modern web application today.
Most of the websites that I would use for my personal blog don't support custom code snippets, components, and other pieces of content I love. Clearly building a full blog is overkill, and not necessary for the average 'blogger'. I'm coming at this from a 'because I can' attitude here. Not everyone needs these solutions, but here is mine for those interested in my implementation.