In this tutorial, we use the ClawHub Security Signals dataset to examine how different security scanners assess AI skills and […]
Category: Tutorials
Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation
In this tutorial, we use GEPA as a reflective prompt-evolution framework to improve the way a language model solves arithmetic […]
A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment
In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the […]
Microsoft Fara Tutorial: Run a Browser-Use Agent in Google Colab with a Mock OpenAI-Compatible Endpoint
In this tutorial, we set up Microsoft Fara in Google Colab and run a browser-use workflow from start to finish. […]
Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset
In this tutorial, we work with the amphora/ResearchMath-14k dataset, a collection of research-level mathematics problems mined from arXiv. We load […]
How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers
In this tutorial, we build a document-intelligence workflow with iii. We begin by installing the iii engine and Python SDK, […]
How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Coding Tutorial on Google Colab
In this tutorial, we fine-tune Liquid AI’s LFM2 model through a complete open-source workflow. We start by loading the base […]
How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp
In this tutorial, we work through an implementation of NVIDIA Apex, focusing on the components that still matter in modern […]
An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls
In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We create […]
A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines
In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for Python. […]