In this tutorial, we build a workflow using Outlines to generate structured and type-safe outputs from language models. We work […]
Category: Tutorials
How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking
In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an […]
How to Design a Streaming Decision Agent with Partial Reasoning, Online Replanning, and Reactive Mid-Execution Adaptation in Dynamic Environments
In this tutorial, we build a Streaming Decision Agent that thinks and acts in an online, changing environment while continuously […]
How to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents
In this tutorial, we build a Meta-Agent that designs other agents automatically from a simple task description. We implement a […]
How to Build a Risk-Aware AI Agent with Internal Critic, Self-Consistency Reasoning, and Uncertainty Estimation for Reliable Decision-Making
In this tutorial, we build an advanced agent system that goes beyond simple response generation by integrating an internal critic […]
A Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation
In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the […]
Beyond Accuracy: Quantifying the Production Fragility Caused by Excessive, Redundant, and Low-Signal Features in Regression
At first glance, adding more features to a model seems like an obvious way to improve performance. If a model […]
Building Next-Gen Agentic AI: A Complete Framework for Cognitive Blueprint Driven Runtime Agents with Memory Tools and Validation
In this tutorial, we build a complete cognitive blueprint and runtime agent framework. We define structured blueprints for identity, goals, […]
How to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows
In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python […]
A Production-Style NetworKit 11.2.1 Coding Tutorial for Large-Scale Graph Analytics, Communities, Cores, and Sparsification
In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe […]