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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