AI/ML benchmark for local LLM inference and XGBoost training on GPU/CPU

Features

• Runs Ollama LLM token latency and throughput benchmarks on various model sizes
• Benchmarks XGBoost training/inference on the HIGGS dataset across different row counts
• Produces a Jupyter notebook exported to HTML with immediate results comparison
• Aggregates results into a regularly updated Streamlit dashboard for community sharing