Applying AI with Python

░▒▓███████▓▒░░▒▓█▓▒░░▒▓█▓▒░░▒▓██████▓▒░ ░▒▓██████▓▒░░▒▓███████▓▒░  
░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░ 
░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░ 
░▒▓███████▓▒░ ░▒▓██████▓▒░░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░ 
░▒▓█▓▒░         ░▒▓█▓▒░   ░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░ 
░▒▓█▓▒░         ░▒▓█▓▒░   ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░░▒▓█▓▒░ 
░▒▓█▓▒░         ░▒▓█▓▒░    ░▒▓██████▓▒░ ░▒▓██████▓▒░░▒▓█▓▒░░▒▓█▓▒░

Slides and code for "Applying AI with Python" talk at PyConZA 2024.

This code introduces a novel agent architecture that demonstrates self-reflection, tool use and reasoning.

Slides and Video

Slides are in this repo.

Video coming soon.

Code Examples

• Tables
  • TableData.ipynb
    • Linear Regression to Predict Wine Quality
    • XGBoost to Predict Wine Quality
    • Logistic Regression to Predict Wine Colour
    • XGBoost to Predict Wine Colour
• Images
  • Classification and Visual Search.ipynb
    • Fine-Tune ResNet to predict clothing categories
    • Use ResNet embeddings to do image similarity search
  • Object Detection.ipynb
    • Use YOLO to detect objects in images
  • Segmentation.ipynb
    • Use SAM2 to segment objects in images
• Speech
  • Transcribe.ipynb
    • Uses Whisper to transcribe podcast clips
• Text
  • 1. Scrape PyConZA2024.ipynb
    • Scrapes PyCon speaker data
  • 2. ETL – Load Documents into Database.ipynb
    • Enriches speaker data and loads data into vector and SQL database
  • 3. Rag.ipybn
    • Implements retrieval augmented generation (RAG) on the pycon data
• Agents
  • Agent.ipynb
    • Implements agent with self-reflection and SQL tool use to improve RAG on conference data.

Contributions

Welcome! Especially on the agent stuff :)

Contact

Speaker: Alex Conway

• X / Twitter: alxcnwy
• LinkedIn: Alex Conway
• AI Consulting: NumberBoost