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Vibe coding explained: Plus 7 AI coding tools to get started right away
Back in February 2025, former OpenAI co-founder Andrej Karpathy posted a tweet that would start a revolution in coding and software development. Yes, we’re talking about “vibe coding,” a term that has since spread across the internet like wildfire. Even OpenAI’s latest GPT-5 model aims to please the vibe coding fanatics. So, what is this…
Getting Started with Mirascope: Removing Semantic Duplicates using an LLM
Mirascope is a powerful and user-friendly library that provides a unified interface for working with a wide range of Large Language Model (LLM) providers, including OpenAI, Anthropic, Mistral, Google (Gemini and Vertex AI), Groq, Cohere, LiteLLM, Azure AI, and Amazon Bedrock. It simplifies everything from text generation and structured data extraction to building complex AI-powered…
Getting Started with MLFlow for LLM Evaluation
MLflow is a powerful open-source platform for managing the machine learning lifecycle. While it’s traditionally used for tracking model experiments, logging parameters, and managing deployments, MLflow has recently introduced support for evaluating Large Language Models (LLMs). In this tutorial, we explore how to use MLflow to evaluate the performance of an LLM—in our case, Google’s…
Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text
In this tutorial, we will explore how to use Microsoft’s Presidio, an open-source framework designed for detecting, analyzing, and anonymizing personally identifiable information (PII) in free-form text. Built on top of the efficient spaCy NLP library, Presidio is both lightweight and modular, making it easy to integrate into real-time applications and pipelines. We will cover…
AI at the edge: It’s just getting started
Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, moving to different kinds of platforms. One of the most exciting instances, happening soonest and with the most impact on users, is the appearance of TinyML inference models embedded at…