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ai-training

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A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.

  • Updated Nov 26, 2025
  • Jupyter Notebook

Master AI prompting for business innovation. O'Reilly Live Learning course by Tim Warner covering ChatGPT, Claude, Copilot, and enterprise prompt engineering with MCP implementation.

  • Updated Oct 15, 2025
  • JavaScript

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.

  • Updated Aug 7, 2024
  • Jupyter Notebook

Open-source voice data collection platform for building inclusive voice datasets. Collaborative transcription with quality consensus. FastAPI + React + PostgreSQL.

  • Updated Dec 6, 2025
  • Python

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