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61 lines
2.7 KiB
Markdown
61 lines
2.7 KiB
Markdown
# AI Agents in Depth — English Slidev Course
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This directory contains the 42-lesson English video course derived from the
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English edition of the book.
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The approved curriculum is documented in [COURSE_OUTLINE.md](COURSE_OUTLINE.md).
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It uses the Option B allocation: four Chapter 5 lessons and four Chapter 9
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lessons, with Computer Use and robotics taught separately. Chapter 7 retains
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six lessons so post-training and reinforcement learning can be introduced
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without assuming prior ML-training knowledge. Lesson 42 concludes both Chapter
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10 and the complete series.
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## Production rules
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- Each lesson is 15–20 minutes.
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- The author budgets roughly one minute per slide.
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- The generator derives each displayed lesson duration from the rendered slide
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count plus the live-demo budget; it rejects any lesson outside 15–20 minutes.
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- Decks are intentionally sparse: one claim, comparison, figure, or short code
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excerpt per slide.
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- Every live-demo lesson contains a dark “Switching to the terminal” handoff
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slide before the author changes windows.
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- Live terminal demonstrations are budgeted at one to three minutes each.
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- Several short experiments may share one contiguous demo block.
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- Lessons with five or six minutes of demos automatically use a compact
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13–14-slide structure instead of squeezing the terminal work past 20 minutes.
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- Long-running, external-service, GPU, telephony, or hardware experiments use
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traceable artifacts or preflight commands and never imply unperformed work.
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- The decks contain slide content and brief presenter cues, not narration
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scripts. The author supplies the interpretation in his own voice.
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- All visible slide content is English.
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## Visual language
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The style follows the author’s existing Slidev talks under
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~/ring0.me/public/files: Seriph, problem-led titles, two- and three-column
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cards, section dividers, code, architecture diagrams, and restrained accent
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colors. This course uses larger type and more whitespace than the older talks.
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## Generate and run
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From this directory:
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1. Run npm install.
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2. Run npm run generate.
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3. Run npm run dev -- lesson-01.md.
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The generator also creates COURSE_OUTLINE.md and copies the selected English
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book figures into public/images.
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## Build and export
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- Build selected lessons: `node build-all.mjs 1 23 42`
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- Build every lesson: `npm run build:all`
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- Export one deck to PDF: `npm run export -- lesson-01.md --output lesson-01.pdf`
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- Export selected slides to PNG: `npm run export -- lesson-01.md --format png --range 1,8-10`
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The generated course outline lists every lesson, target duration, live
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experiment, and terminal-demo budget. Regenerate the decks after changing
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course.mjs; generated lesson files should not be edited by hand.
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