AI Archives - Page 2 of 16

AI-Powered Visual Testing: Catching UI Regressions with Playwright and Claude 3.5 Sonnet

August 14, 2026

Learn how to combine Playwright's browser automation with Claude 3.5 Sonnet's vision capabilities to detect UI bugs automatically. This guide covers setup, CI/CD integration, and cost-saving tips.

On-Device AI: Deploying SLMs with MediaPipe and ONNX Runtime

August 14, 2026

Ditch the high API costs. Learn how to deploy Small Language Models like Gemma and Phi-3 directly on mobile devices using MediaPipe and ONNX Runtime.

Stop Leaking Data: Building a PII Redaction Gateway for LLMs

August 1, 2026

Don't let your LLM prompts leak sensitive data. Build a secure AI Privacy Gateway using Microsoft Presidio to redact PII and maintain compliance while using external AI APIs.

Beyond Faker: Scaling Context-Aware Synthetic Data with LLMs and Python

August 1, 2026

Production data leaks are preventable. Discover how to use Python, Pydantic, and LLMs to generate high-fidelity, context-aware synthetic data for secure and scalable testing.

Running AI in the Browser: A Guide to Transformers.js and WebGPU

July 30, 2026

Discover how to migrate AI workloads to the browser. This guide shows you how to use Transformers.js and WebGPU to slash server costs and improve user privacy with real-world code examples.

Stop Fighting Regex: Build an Intelligent ETL with LLMs and Pydantic

July 28, 2026

Ditch fragile Regex. Learn how to build a modern ETL pipeline that converts messy, unstructured text into clean, validated SQL data using Python, GPT-4o, and Pydantic.

Beyond the 128K Limit: Optimizing Long Context LLMs for Real-World Apps

July 27, 2026

Learn how to optimize LLM performance for massive documents. This guide covers the transition from RAG to Native Long Context, the 'Lost in the Middle' problem, and how to use Needle In A Haystack testing to ensure accuracy.

Knowledge Distillation for LLMs: How to Shrink Models for Speed and Lower Costs

July 27, 2026

Learn how to perform Knowledge Distillation for LLMs to transfer reasoning capabilities from large models like Llama-3-70B to smaller, faster models. This guide covers practical implementation, cost optimization, and production monitoring strategies.

Build an AI Data Analyst with PandasAI and Python: Query CSV/Excel Data Using Natural Language

July 21, 2026

PandasAI wraps an LLM around any pandas DataFrame, letting you query CSV and Excel files in plain English and generate charts without writing a single line of pandas. This guide walks through the full setup — from installation to production-ready configuration — with practical code examples.

Build a Personal AI Knowledge Base with Obsidian, Ollama and ChromaDB: Offline Semantic Search for Your Notes

July 20, 2026

Keyword search fails when you need it most — 2 AM, 600 notes, and the answer is in there somewhere with a title you don't remember. This guide builds a fully offline personal AI knowledge base using Obsidian, Ollama, and ChromaDB so you can search your notes by meaning, not by exact wording, with no cloud dependency.