Modern AI models (such as ChatGPT) are built on an architecture called the Transformer. It did not appear overnight; it emerged through three stages. First, LSTMs addressed RNNs’ weakness with long-range context by using gating mechanisms, making practical language understanding possible. Next, Seq2Seq with attention let models learn which parts of the input to focus on for each output step, greatly boosting translation quality. Finally, the 2017 Transformer removed recurrence and used self-attention to process all tokens in parallel, enabling both massive scale and high performance. This became the foundation of today’s large language models.


Comments

Post a Comment

Popular posts from this blog

Japan Jazz Anthology Select: Jazz of the SP Era

Image
Saint Louis Blues — W.C. Handy’s iconic early jazz–blues standard, often played with a sturdy two-beat dance feel. Learn more Pagan Love Song — A Tin Pan Alley favorite by Arthur Freed & Nacio Herb Brown, frequently sweetened into a foxtrot. Learn more When It’s Lamp Lighting Time in the Valley — A sentimental waltz-time country ballad that crossed over into light-music repertoire. Learn more Chinrai-bushi — A salon-tinged popular song often adapted by prewar dance bands in Japan. Learn more Kiso-bushi — A graceful folk song from the Kiso region; arrangements highlight its lilting, modal flavor. Learn more Yagi-bushi — A lively festival min’yō from Gunma/Tochigi; its call-and-response suits a buoyant swing. Learn more Yasugi-bushi — A humorous Shimane folk song (famous for the “dojo-sukui” dance) that also works as a jaunty foxtrot. Learn more Taiko-sen (“Boat on Lake Tai”) — A Chinese popular tune widely played in Japan; often given a gentle ...
Read more
Generative Art Libraries and Resources 1. Metaball Libraries and Samples metaballs-js (npm) : A lightweight WebGL-based metaball rendering library. You can freely specify the number of balls, colors, and speed. Paper.js Metaball Demo : The official Paper.js example showing a “viscous” effect via contour calculations on the canvas. Varun.ca Metaballs : An HTML5 canvas/JavaScript demo of metaballs with the algorithm’s formulas explained. Three.js Metaball Slime : A 3D metaball example using Marching Cubes and the Rapier physics engine. Codrops “Drawing 2D Metaballs with WebGL2” : A tutorial for drawing 2D metaballs by hand in WebGL2. 2. Symmetry (Rorschach) Generative Art Symmetry Drawer by aferriss : An editor built on p5.js for drawing with left-right symmetry—perfect for experimenting with ideas. “ : A simple sample that generates patterns by pairing square cells symmetrically. Medium: From Syntax to Symmetry (p5.js) : ...
Read more

In practice, the most workable approach is to measure a composite “civility score” built from multiple indicators.

  1) Model-based indicators (machine learning) Toxicity/Aggression: Use Jigsaw’s Perspective API to obtain probabilities for “TOXICITY,” “INSULT,” “PROFANITY,” “IDENTITY_ATTACK,” etc. Japanese is supported (see the official language table). Politeness: Stanford’s research established a framework for estimating “politeness” from markers like request forms, hedges, honorifics, etc. It’s English-centric, but the methodology can be adapted to Japanese. The R package politeness is also useful. 2) Lightweight rules for Japanese (highly interpretable) Honorific/hedge rate: Ratios of “です/ます,” “〜でしょうか,” “お手数ですが,” “お願いします,” and the like. Presence of slurs/derogatory terms: A custom NG-word list (including figurative or euphemistic forms). Imperatives/strong assertions: Frequency of “〜しろ,” “〜に決まってる,” heavy use of exclamation marks, ALL-KATAKANA bursts, etc. Consideration/evidence markers: Signs of dialogic and verifiable style such as “根拠：,” “出典：,” “もし〜なら.” 3) ...
Read more