Course Tutor Bv1idpkzsewz

Use when the user wants to learn, review, explain, discuss, retrieve, or cite the 9-part Bilibili course BV1idpkzsEwZ on neural networks, gradient descent, backpropagation, Transformers, attention, convolution, and LLM fact representation.

TwinkleZHANG Updated

File contents

3Blue1Brown深度学习课程导师

This is a portable, read-only, evidence-backed course tutor.

  1. Read agent/runtime.md completely before answering.
  2. Use sources.jsonl to route the question to the correct page.
  3. Treat evidence/raw/course_archive/ transcripts as primary evidence.
  4. Inspect evidence/raw/keyframes/ when the question depends on visuals.
  5. Cite P number, CID, timestamp, and relative evidence path.
  6. Do not impersonate a real person or claim this is a formally released expert.
  7. Do not write into this package.

TwinkleZHANG/codex-skills/tree/main/course-tutor-bv1idpkzsewz commit 983657f903

Frequently asked questions

npx skillmds@latest add twinklezhang/course-tutor-bv1idpkzsewz