Tag: fundamentals of data engineering
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LLM Fine-Tuning – LoRA, QLoRA and Parameter-Efficient Fine-Tuning (PEFT)
📋 KEY INSIGHTSFull fine-tuning of large language models —...
Tabular Deep Learning – TabNet, FT-Transformer and SAINT Explained
📋 KEY INSIGHTSGradient-boosted trees (XGBoost, LightGBM, CatBoost) have dominated...
Multi-Armed Bandits and Online Learning – Explore-Exploit, UCB and Thompson Sampling
📋 KEY INSIGHTSThe multi-armed bandit problem formalises the explore-exploit...
MLflow and Experiment Tracking – Model Registry, Runs and Lifecycle Management
📋 KEY INSIGHTSMLflow is the de facto standard open-source...
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