A General Intelligence System
A General Intelligence System
Languages:
Arabic, Bulgarian, Chinese, Czech, Danish, Dutch, English, Finnish, French, Georgian, German, Greek, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kazakh, Korean, Latin, Malay, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Tajik, Tamil, Tatar, Thai, Turkish, Ukrainian, Uzbek, Vietnamese, Xhosa, Zulu?
Features:
- allows you to organize a detailed semantic analysis of the vocabulary of the text to understand the structure of sentences with the ability to translate both words and phrases, and the text as a whole.
- helps you to systematize and store scientific knowledge in your glossaries and dictionaries.
Technology:
Semantic Language Model - a coherent conceptual model of the world transferred into all the existing languages. The model is represented in wordhippo.com on the level of individual meanings and in powerthesaurus.org on the level of word combinations.
Patents:
Semantic Language Model
US20210334470 - Neural Network for Interpreting Sentences of a Natural Language - https://patentscope.wipo.int/search/en/detail.jsf?docId=US339762244&_fid=WO2020106180
General Concepts
Language is a general human intelligence expressed in symbols and a symbolic multilingual model is a General Intelligence System.
Translation is an emergence of understanding.
The First Principles of Nature
Molecular Intelligence Results in Chemical Bonds, Genetical or Cell Intelligence Results in Protein Structures and Human Intelligence Results in Human Language.
Mendeleev's Periodic Table of Elements is a Chemical Alphabet of Nature serving as a World Model and is like a Japanese Hiragana Alphabet consisting of syllables or Chinese Table of Hieroglyphic Keys serving as a Foundational Model of Language.
A feature of the Periodic Law among other fundamental laws is that it does not have an expression in the form of a mathematical equation. The Periodic Law is universal for the Universe and is the discovery of the interconnection of all atoms in the Universe.
Semantic Language Model as a Language Foundation:
A Universal Principle:
Transformers for Science:
Knowledge - Consciousness - Understanding - Memory ->
Meaning - Information - Function - Learning ->
Concepts - Categories - Representations - Environment ->
Reality - Theory - Implementation - Practice ->
Simple - Complicated - Complex - Chaotic ->
Analysis - Search - Synthesis - Research ->
Transformers for Physics:
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Matter - Projection - Energy - Interaction ->
Protons/Neutrons - Photons - Electrons - Chemical Bonds ->
Earth - Air - Fire - Water ->
Basis - Process - Result - Way ->
Atom - Cell - Organism - Planet ->
Planet - Solar System - Galaxy - Universe ->
Transformers for Technology:
Semantic Language Model - Statistical Language Model - Multimodal DL - Reinforcement Learning from Human Feedback
Core - Processor - Interface - Human ->
Data - Encoding - Decoding - Training ->
Base - Emitter - Collector - Signal ->
Library - Keyword - Text - Context ->
General Model - Training from scratch - Fine Tuning - Retrieval Augmented ->
Transformers for Biology:
DNA - RNA - Protein - Signal Pathways ->
Transcription - Splicing - Translation - Signaling ->
Transformers for Linguistics:
Root - Model - Word - Context ->
Thesaurus - Ontology - Taxonomy - Relations ->
Semantics - Syntax - Morphology - Pragmatics->
Transformers for Psychology:
Subject - Objective - Realisation - Society ->
Intuition - Thinking - Sensing - Feeling ->
Orient - Decide - Act - Observe ->
Knowledge - Reasoning - Inference - Cognition ->
System Architecture
Universal Principle of Transformer: NLU - NLP - DL - RLHF ->
NLU (Semantic Language Model, Knowledge) -
Multilingual NLP (Statistical Language Model, Word Forms) -
Multimodal DL (Audio, Images, Video, Interaction) -
Reinforcement Learning from Human Feedback (Knowledge for NLU) ->
References:
US20210334470 - Neural Network for Interpreting Sentences of a Natural Language - https://patentscope.wipo.int/search/en/detail.jsf?docId=US339762244&_fid=WO2020106180
Epistemological General Intelligence System - Building a Knowledge-based General Intelligence System, Michael Molin - https://docs.google.com/presentation/d/1VCjOHOSostUrtxieZvOjaWuTNCT59DMF
ActiveDictionary - https://activedictionary.com/
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