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DataFunSummit
DataFunSummit
Sep 27, 2024 · Artificial Intelligence

Advances in Educational Large Language Models for Youth Programming and Personalized Learning

The presentation by Dr. Su Yu outlines challenges such as data sparsity and delayed learning effects in AI‑driven education, introduces three technical breakthroughs—domain‑specific LLM training, small‑knowledge learning via hierarchical knowledge graphs, and reinforcement‑based cognitive recommendation—and showcases product applications like the Frog Programming Platform, AI Programming Learning Machine, and digital‑human AI recorded courses.

AI EducationPersonalized Learningknowledge graph
0 likes · 18 min read
Advances in Educational Large Language Models for Youth Programming and Personalized Learning
DataFunTalk
DataFunTalk
May 21, 2021 · Artificial Intelligence

Knowledge Graph Course Syllabus Overview

This document outlines a comprehensive knowledge graph curriculum covering fundamentals, representation methods, storage solutions, extraction techniques, reasoning, fusion, question answering, graph algorithms, and emerging research directions across nine detailed chapters.

AI Educationcourse syllabusgraph databases
0 likes · 4 min read
Knowledge Graph Course Syllabus Overview
流利说 Design Team
流利说 Design Team
Apr 28, 2021 · Product Management

How a User Experience Map Revamped an AI English Tutor – A Step‑by‑Step Case Study

This article details how the team applied a user experience map to redesign the AI‑powered English tutoring app Alix, outlining the quick‑turn workshop method, key findings, opportunity brainstorming, and how the resulting map drove concrete product demos and iterative releases.

AI EducationProduct RedesignUX Mapping
0 likes · 8 min read
How a User Experience Map Revamped an AI English Tutor – A Step‑by‑Step Case Study
High Availability Architecture
High Availability Architecture
Jun 6, 2019 · Artificial Intelligence

Interview with Microsoft Asia Research Lead Zou Xin on Software Engineering, AI Learning, and Career Insights

In this interview, Microsoft Asia Research chief Zou Xin shares his extensive software engineering experience, discusses the evolution of software development, offers practical advice on learning AI, and reflects on his books and upcoming GIAC conference activities, providing valuable insights for engineers and students alike.

AI EducationMicrosoftbook publishing
0 likes · 13 min read
Interview with Microsoft Asia Research Lead Zou Xin on Software Engineering, AI Learning, and Career Insights
JD Tech
JD Tech
Apr 19, 2018 · Artificial Intelligence

Key Insights from Prof. Zhou Zhihua’s Talk on Deep Learning, Model Complexity, and the Deep Forest Method

In his JD AI Innovation Summit presentation, Prof. Zhou Zhihua examined why deep neural networks have succeeded, identified three essential conditions—layer‑wise processing, internal feature transformation, and sufficient model complexity—highlighted their limitations, introduced the gcforest/deep forest alternative, and emphasized the need for large data, powerful hardware, training tricks, and talent to advance AI research and education.

AI Educationdeep forestdeep learning
0 likes · 23 min read
Key Insights from Prof. Zhou Zhihua’s Talk on Deep Learning, Model Complexity, and the Deep Forest Method