LLM and RAG Evaluation: Metrics, Best Practices
This article provides a concise reference for evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems. It covers core metrics like accuracy, F1, BLEU, ROUGE, and...
This article provides a concise reference for evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems. It covers core metrics like accuracy, F1, BLEU, ROUGE, and...
This article provides a concise reference for evaluating multi-step AI agents and agentic systems. It covers core metrics for task completion, reasoning, and efficiency, and highlights recent...
Modern AI systems may look diverse on the surface, but under the hood they rely on a small set of recurring architectural and training ideas. This article distills foundational concepts—ranging...
Modern data and AI products are built on a small set of recurring Python tools for data processing, visualization, interfaces, and APIs. This article provides a concise conceptual overview of...
Thinking and describing how Spotify's Discover Weekly leverages machine learning and statistical models to generate personalized music recommendations.