Posted inAI
Machine Learning Directly in PostgreSQL: Train and Predict Using SQL
Stop moving data. Learn how to train and deploy XGBoost and Scikit-learn models directly inside PostgreSQL using PostgresML and standard SQL queries.
Posted inAI
How to Deploy Arize Phoenix on Docker: Monitor and Debug LLM, RAG, and AI Agents in Real Time
Arize Phoenix is an open-source observability platform that gives you full trace visibility into every LLM call, RAG retrieval step, and AI agent action in real time. This guide walks you through deploying it with Docker and connecting your Python app to start monitoring prompts, completions, latency, and evaluation scores from day one.
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LLM Merging with Mergekit: Build Custom Models Without the GPU Tax
Ditch the expensive GPU rentals. Learn how to use Mergekit on Linux to fuse LLMs using SLERP, TIES, and Passthrough techniques for custom AI performance.
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Self-Host OpenHands: Run Your Own AI Coding Agent Using Docker
Take your AI coding beyond the chat box. This guide shows you how to deploy OpenHands on Docker for a secure, autonomous development experience.
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Ditch the API Fees: High-Quality AI Voice Cloning with Kokoro-TTS
Ditch expensive cloud APIs. Learn how to build a private, high-quality Text-to-Speech system using Kokoro-TTS and Python. Perfect for developers needing low-latency, cost-effective AI voices.
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Vercel AI SDK: Build AI Streaming Chatbots in Next.js with Multi-Provider LLM Support
Learn how to use Vercel AI SDK to build streaming AI chatbots in Next.js that hold up under real load, with support for OpenAI, Anthropic, and Google in a single unified API. Includes a full implementation guide from route handler to React UI, plus a production deployment checklist.
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Speeding Up Vietnamese Speech-to-Text: From Vanilla Whisper to Faster-Whisper in Production
Don't settle for slow transcription. Discover how to build a high-performance Vietnamese STT system using Faster-Whisper, LoRA fine-tuning, and CTranslate2 for 4x faster results.
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How I Cut Our OpenAI Bill by 50% Using the Batch API
Slash your OpenAI costs by 50% and bypass rate limits. This guide shows you how to move high-volume AI tasks to the Batch API with production-ready Python examples.
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Running AI Models on AMD GPUs with ROCm: A Production-Ready Guide
Ditch the NVIDIA tax. This guide shows you how to set up AMD ROCm 6.1 for high-performance AI inference, featuring real-world benchmarks and setup tips for the Radeon 7900 series.
Posted inAI
Auto-labeling with Grounding DINO and SAM: Shrink Dataset Prep from Weeks to Hours
Ditch the manual labeling grind. Learn how to chain Grounding DINO and SAM to create a zero-shot auto-labeling pipeline that slashes weeks of work from your CV projects.