MCP - The Protocol That Connects AI to Everything
Model Context Protocol (MCP) is an open standard by Anthropic that gives AI assistants a clean, universal way to connect to tools, data sources, and services. This article explains the...
Model Context Protocol (MCP) is an open standard by Anthropic that gives AI assistants a clean, universal way to connect to tools, data sources, and services. This article explains the...
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...
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...
Summary of the ideal use cases for models implemented in the scikit-learn Python library for machine learning.
A small curated list of Python libraries and frameworks in use for Data Science, Quantitative Development and other technical use cases. Of course, you may need any of these in other domains as well.