RAGAS vs TruLens vs DeepEval
LLMs are getting stronger every day, and building a RAG pipeline has never been easier. Knowing whether it actually works is not. Most teams ship a RAG system, see decent-looking…
Hands-on AI and machine learning tutorials in Python: model building, computer vision, NLP, and practical code guides.
LLMs are getting stronger every day, and building a RAG pipeline has never been easier. Knowing whether it actually works is not. Most teams ship a RAG system, see decent-looking…
# Introduction Most video understanding tools fall into one of two camps. The first camp requires a cloud API; your footage is uploaded, processed on someone else’s servers, and billed…
In this article, you will learn how the Model Context Protocol (MCP) standardizes the way AI applications connect to external tools and data sources, broken down across three levels of…
Context engineering is the practice of curating the content that goes into an AI agent’s context window. In Python projects, that may mean pinning your dependency manager in an instruction…
Computer vision automates paint defect inspection by using an RF-DETR object detection model to accurately locate and classify surface imperfections like scratches, bubbling, and orange peel. By integrating this model…
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, I decided I wanted to transition from data analyst to data engineer. Like many people starting out, I was overwhelmed by the sheer number of things I thought I…
Vision-language models are among the advanced artificial intelligence AI systems designed to understand and process visual and textual data together. These models are known to combine the capabilities of computer…
Looking to model to implement pose estimation? I know something that can perform detection, instance segmentation, pose estimation and classification, all of that in real-time. Yes, I’m talking about the…
# Inroduction This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything….