https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Understanding Reasoning LLMsSebastian Raschka, PhDFeb 05, 2025 “This article describes the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities.”
What I Read: LLM Chatbots, Browser
https://www.kdnuggets.com/2023/05/webllm-bring-llm-chatbots-browser.html Web LLM: Bring LLM Chatbots to the BrowserBala Priya CMay 22, 2023 “Wouldn’t it be cool if you can run LLMs and LLM chatbots natively in your browser?”
What I Read: Dataset Distillation
https://ai.googleblog.com/2021/12/training-machine-learning-models-more.html Training Machine Learning Models More Efficiently with Dataset DistillationWednesday, December 15, 2021Posted by Timothy Nguyen1, Research Engineer and Jaehoon Lee, Senior Research Scientist, Google Research“For a machine learning (ML)
What I Read: Why Deep Learning Works
https://moultano.wordpress.com/2020/10/18/why-deep-learning-works-even-though-it-shouldnt/ Why Deep Learning Works Even Though It Shouldn’tRyan Moulton’s ArticlesRyan Moulton “Stop talking about minima…. Nobody ever trains their model remotely close to convergence…. What really needs further research
What I Read: Do Wide and Deep Networks Learn the Same Things?
https://ai.googleblog.com/2021/05/do-wide-and-deep-networks-learn-same.html Do Wide and Deep Networks Learn the Same Things?Tuesday, May 4, 2021Posted by Thao Nguyen, AI Resident, Google Research