A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
2月 16, 2026admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived...
A Coding Implementation to Build and Train Advanced Architectures with Residual Connections, Self-Attention, and Adaptive Optimization Using JAX, Flax, and Optax
11月 11, 2025admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we explore how to build and train an advanced neural network using...
A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research
3月 22, 2026admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we build an uncertainty-aware large language model system that not only generates...
A Coding Implementation to Build a Unified Tool Orchestration Framework from Documentation to Automated Pipelines
10月 18, 2025admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we build a compact, efficient framework that demonstrates how to convert tool...
A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text
10月 5, 2025admin NUAI,Committee,ニュース,Uncategorized(0)We will build a Regression Language Model (RLM), a model that predicts continuous numerical values...
A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning
3月 1, 2026admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We...
A Coding Implementation to Build a Complete Self-Hosted LLM Workflow with Ollama, REST API, and Gradio Chat Interface
8月 20, 2025admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we implement a fully functional Ollama environment inside Google Colab to replicate...
A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric
6月 13, 2026admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we build an end-to-end spatial graph learning pipeline using city2graph. We start...
A Coding Implementation on Qwen 3.6-35B-A3B Covering Multimodal Inference, Thinking Control, Tool Calling, MoE Routing, RAG, and Session Persistence
4月 21, 2026admin NUAI,Committee,ニュース,Uncategorized(0)In this tutorial, we build an end-to-end implementation around Qwen 3.6-35B-A3B and explore how a...