I just couldn't resist... Like and share if you still think that XGBoost is the king of ML algorithms 👑 (And no, XGBoost is not an LLM) #machinelearning #xgboost #artificialintelligence

This meme humorously captures the shift in focus in the AI/ML community from traditional machine learning tools like XGBoost to the growing prominence of LLMs (Large Language Models). However—XGBoost continues to deliver tremendous business value across industries. It remains a robust and reliable tool for many production systems, especially for structured data problems like regression, classification, and time-series forecasting. XGBoost’s efficiency, scalability, and interpretability still make it indispensable in production systems where interpretability, speed, and predictive performance matter. While LLMs dominate discussions in unstructured data and generative AI, XGBoost excels in practical, tabular data use cases that drive significant ROI.

We really need to understand which are "language" tasks and which are Not. Why would XGBoost be sad or feel FOMO by an LLM? Does it even make any sense? On structured data, it remains one of the most formidable models available. Seems with LLMs there is an advent of another generation of pseudo Data Scientists, ML/AI Engineers...