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A flipped classroom series on understanding LLMs for non-CS/AI students面向非计算机/AI专业师生的渐进式大语言模型(LLM)翻转课堂系列,助力构建扎实的基础认知与实践能力 - 实践实现:PyTorch示例代码 深入理论:数学基础与高级原理课程模块覆盖: - 词预测与词嵌入基础,理解语言建模核心机制 - Transformer架构详解,掌握预训练与微调技术 - 推理与对齐,探讨价值对齐与强化学习等前�

active 2025-04-26 → 2026-09-23 (UTC)

Complete coverage28,273 / 28,273 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-05 (UTC)
Events
115
Pushes
93
Pull requests
0
Issues
0
Stars
19
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 516 days from 2025-04-26 to 2026-09-23. Pushes: 93 total, peak 9 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 19 total, peak 5 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
zzhang-cn939300

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 19 stars here means stars gained during the window, not the repo's star count.