LLMs

Large Language Models explained

  • | |

    New language model for human conversation!

    The breathtaking view from Kobe University looking over Osaka Bay – home to the RRG 2025 bi-annual conference. Linguistic Conference: RRG 2025 The linguistic conference in Kobe, Japan, has just wrapped up. Expert linguists from around the world gave English presentations of progress over 2 days in a variety of languages including: Japanese, Taiwanese, Cantonese, Breton, Vietnamese, German, Mandarin, Mexican languages, Taiwan Sign language, and a range of African languages. They all use RRG as the model of communications. Primary developer, Robert D. Van Valin, Jr., has continued work on and growing the global community since the early 1980s. What makes Van Valin’s contributions so significant in the 20th and 21st century is its adoption of a model in which the words in a language…

  • | |

    Understanding isn’t just memorization

    We learn all the time, continuously, regardless of our age. We never stop, but would it surprise you that many scientists propose the model where we stop learning while we are young? That is false, although more research would help prove the point. We just need some people to use experimental science!   Inside view of the ground floor of a Starbucks in Tokyo – wow! The perfect venue to learn more about language and our ability to understand — with coffee!   OK, how can I claim that learning doesn’t stop while we are young? Why so confident? Do you know the (made up) word Preada? It’s a brand that sells glasses, like Prada. Preada puts additional effort (E) into the designs of Prada,…

  • |

    Patom Theory Understands the Meaning Behind Language

    For most of my life, I have pondered a question that sits at the very center of howour brain works: how do we understand language?The question isn’t how we repeat language, nor how we recognize its surfacepatterns, but how we understand its meaning in context. If you ask ten expertsabout this subject, called Natural Language Understanding or NLU, you will getten different definitions because there are many theories available in academia!These tend to have origins in the 1950s or before and can be seen as validcompetitors in the absence of working solutions.But to most people, understanding is simple. It is the moment when wordsconnect to meaning. You do not ‘predict’ meaning (a popular paradigm in today’smachine learning community): you experience it. To many of us,…