In-depth technology research, analysis, and expert insights on emerging trends.
PDFs going through an OCR model by default is the default architecture almost everyone starts with. It is also almost always the wrong one. Here is the pipeline pattern that actually performs better, both on cost and on accuracy.
OCR has quietly become the entry point for most document automation pipelines. But the gap between how AI-native OCR handles clean text and how it handles structured forms is wide, and the structured forms are usually the documents businesses actually need parsed.
Discover how to deploy a self-hosted RAG system using Infinity server with BGE-Large embeddings that outperforms OpenAI's ada model while eliminating API costs. Complete technical implementation guide with Docker setup.
DeepSeek-OCR goes beyond basic text extraction by understanding entire page layouts. We tested it on complex 19-page reports to evaluate its structural accuracy.
Learn how to run open-source LLMs using Kaggle's free GPU tier, Ollama, and ngrok. Skip the hardware costs, avoid API fees, and access your models from your phone or desktop.
Capacitor.js lets React teams ship native iOS and Android apps without rewriting the frontend. Plugins, permissions, live reload, and the parts that still trip you up.
Microsoft open-sourced the VS Code Copilot Chat extension under MIT. We built it locally, poked at the code, and found out what you can actually customize.
We ran 13 standardized tasks across four leading open source models and scored every response from 0 to 10. Here is exactly what we found.
Having tested top AI models on real-world tasks, GPT-OSS-120B leads in technical performance, Qwen3 excels at research, while GPT-5 and DeepSeek shine in coding and analysis. See the full benchmark results.