Skip to content

Paddychief92/tokens-llm-presentation

Repository files navigation

Tokens in LLMs - PowerPoint Presentation Generator

A Python project that generates professional PowerPoint presentations about tokens in Large Language Models (LLMs) using the python-pptx library.

Overview

This repository demonstrates automated presentation creation with a clean, minimalistic design. The main presentation explains what tokens are, why they matter, and how they work in the context of large language models.

Generated Presentation

The tokens_in_llms.pptx file contains a 10-slide presentation covering:

  1. Title Slide - Understanding Tokens: The Building Blocks of Large Language Models
  2. What is a Token? - Basic definition and examples
  3. Why Tokens Matter - Importance in LLM processing
  4. The Tokenization Process - Visual flowchart of text-to-embedding conversion
  5. Types of Tokenization - Word-level, character-level, and subword methods
  6. Subword Tokenization Example - Practical examples showing token splits
  7. Token Limits & Context Windows - Understanding model constraints
  8. Practical Implications - Cost, speed, and usage considerations
  9. Optimizing Token Usage - Best practices and tips
  10. Key Takeaways - Summary of main concepts

Design System

Color Palette (Black & White Minimalistic)

  • Black (0, 0, 0) - Primary text and accents
  • White (255, 255, 255) - Backgrounds
  • Light Gray (240, 240, 240) - Content boxes
  • Medium Gray (128, 128, 128) - Secondary elements
  • Dark Gray (64, 64, 64) - Body text

Typography

  • Titles: 44-66pt bold
  • Content: 20pt
  • Small text: 18pt

Format

  • Widescreen 16:9 aspect ratio (16" x 9")

Installation

pip install python-pptx pillow

Or on macOS:

pip3 install python-pptx pillow --break-system-packages

Usage

Generate the presentation:

python tokens_presentation.py

This creates tokens_in_llms.pptx in the same directory.

Project Structure

.
├── README.md                 # This file
├── tokens_presentation.py    # Main script for tokens presentation
├── tokens_in_llms.pptx       # Generated presentation output
├── complete_pptx_code.py     # Additional presentation example
├── key_lessons.md            # Development notes and lessons learned
└── CLAUDE.md                 # AI assistant instructions

Customization

To modify the presentation, edit tokens_presentation.py:

  • Change colors: Update the color constants at the top of the file
  • Edit content: Modify the text in add_standard_slide() calls
  • Add slides: Use the add_standard_slide() helper or create custom slides

Helper Function

add_standard_slide(
    "Slide Title",
    [
        "First bullet point",
        "Second bullet point",
        "Third bullet point"
    ]
)

Key Patterns

  1. Blank layout - Uses prs.slide_layouts[6] for full control over elements
  2. Layered design - Background elements first, then content
  3. Reusable components - Helper functions for consistent slide structure
  4. Visual elements - Accent lines, rounded rectangles, and arrows for engagement

Requirements

  • Python 3.7+
  • python-pptx
  • Pillow (for image support)

License

MIT License - Feel free to use and modify for your own presentations.


Generated with Claude Code

About

Python scripts for generating professional PowerPoint presentations about tokens in Large Language Models

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages