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Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.
💻 AI_CodeSolver is an intelligent assistant for developers, students, and coding enthusiasts, helping with learning, solving algorithmic problems, and debugging code.
Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.
Symbiogenesis is a memory-powered AI interface that evolves with you — combining neural recall (Mnemosyne) and predictive interaction (Prometheus) to enable true consciousness partnership.
This patent proposes a logic framework that enables contextual reasoning beyond fixed frames, integrating adaptive layers of interpretation for highly dynamic systems and meta-level AI control. 固定的文脈を超えた推論を可能とする論理枠組であり、高次適応やメタAI制御を支援します。
This repository presents a constructive AI framework that integrates modules such as knowledge generation, inference, adaptation, and self-reconstruction into a unified architecture. 本リポジトリは、知識生成・推論・適応・自己再構築などを統合した構成的AIの枠組みを示します。
25-day journey to master AI consulting! This repo features Jupyter notebooks covering AI architecture, ML, generative AI, cloud deployments, and MLOps to build your skills & portfolio.
知識の冗長を抑え、意味構造を保ったまま情報を圧縮する構成的手法を提案します。 学習モデル、AI応答、教育設計などでの知識再構成と最適化に有用です。 A constructive theory for compressing knowledge while preserving semantic structure. Applicable to learning models, AI responses
認知プロセスを階層化し、感覚・推論・目標設定などの各レイヤーを動的に接続する構造的アーキテクチャ。AI・ロボット・教育・会話エージェントなどにおいて、複数段階の意思決定を統合的に制御する枠組みを提供する。 This architecture provides a constructive cognitive framework for hierarchically structured control from sensory input to goal-directed commands, applicable to AI agents, robotics, and multi-stage decision systems.