The article uses a WSJ measles heatmap to illustrate heatmaps' effectiveness in displaying vaccine impacts on infectious diseases. It guides creating custom colormaps with Matplotlib’s LinearSegmentedColormap and pcolormesh function.
Learn how to get started with Podman, a daemon-less and secure containerization tool that's a great alternative to Docker.
Exploring popular reinforcement learning environments in a beginner-friendly way, focusing on the Q-learning method to solve the 'Frozen Lake' environment.
A comprehensive overview of React concepts, covering components, JSX, fragments, props, state, lifecycle methods, purity, Strict Mode, hooks, Context API, lists and keys, forms, and React Router.
This tutorial provides a step-by-step guide on building an LLM router to balance the use of high-quality closed LLMs like GPT-4 and cost-effective open-source LLMs, achieving high response quality while minimizing costs. The approach includes preparing labeled data, finetuning a causal LLM classifier, and offline evaluation using the RouteLLM framework.
An article discussing the current state, recent approaches, and future directions of prompt engineering in data and machine learning. It includes several links to relevant articles and tutorials on the topic.
This is a hands-on guide with Python example code that walks through the deployment of an ML-based search API using a simple 3-step approach. The article provides a deployment strategy applicable to most machine learning solutions, and the example code is available on GitHub.
This project implements a real-time face recognition system using OpenCV and the face_recognition library. The system detects faces from a video stream, recognizes previously seen faces, and displays metadata about each recognized face. It supports both Raspberry Pi cameras and USB webcams.
A tutorial showing you how how to bring real-time data to LLMs through function calling, using OpenAI's latest LLM GTP-4o.
