5 article(s)
A reflection on how AI amplifies execution but not human attention, and why personal growth now depends on focus, depth, and deliberate choice.
A structured, engineer‑focused introduction to the “Foundations and Frontiers of Large Language Models” series — connecting the core principles, architectural breakthroughs, engineering paradigms, and emerging system‑level patterns behind modern LLMs. This preface outlines why the series exists, who it’s for, and how it maps the evolution from statistical NLP to Transformers, from prompting to RAG, from reasoning to agentic systems, and from classical recommenders to LLM‑native paradigms.
A pragmatic guide to using Weka's GUI for quick baseline classification, parsing CSV constraints, and extracting the power of traditional ML models like SMO (SVM).
A retrospective analysis of Eugene Nida's functional equivalence theory and sociosemiotics, and how these classical translation philosophies mirror modern cross-lingual LLM alignment.
A deep dive into the underlying mathematics of Conditional Random Fields (CRF), why they still matter in the age of LLMs, and a practical step-by-step guide to implementing sequence labeling using CRF++. Note: this is a combination of 2 old blog posts of me: https://blog.csdn.net/Felomeng/article/details/4288492 https://felomeng.blog.csdn.net/article/details/4367250
