It's an understatement that educators worry about students using AI to offload the cognitive struggle that is critical for learning. That worry is well founded.
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Credit Card fraud system/ ├── data/ │ └── creditcard.csv ← (download from Kaggle — optional) ├── notebooks/ │ └── fraud_detection.ipynb ← Jupyter walkthrough ├── src/ │ ├── data_loader.py ← Dataset ...
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