Install OpenCV 5 on Linux: pip, Source, and CUDA
To install OpenCV 5 on Linux reliably, first decide whether the project needs only Python, native C++ libraries, custom backends, or CUDA. On Ubuntu 24.04, for example, apt install python3-opencv…
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Loop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM
do not look bad until the answer comes out (classic OCR is the textbook case: EasyOCR recovers the words and quietly drops the table structure around them, and the answer…
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Using NumPy reshape() to Change the Shape of an Array
The main data structure you’ll use in NumPy, Python’s core library for numerical computing, is the N-dimensional array. Sometimes you need to reorganize the values in a NumPy array into…
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Advanced Techniques for Optimizing AI Inference Costs
Reduce AI inference cost by profiling the full pipeline first, then applying the cheapest change that holds your accuracy target: a smaller RF-DETR variant, FP16 or INT8 quantization, pruning, or…
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Running Gemma 4 Locally: Ollama, llama.cpp, MLX, and More
Access the code to this tutorial and all other 500+ tutorials on PyImageSearch Enter your email address below to learn more about PyImageSearch University (including how…
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How to Run Claude Code Agents for 24+ Hours
to being able to run a lot of coding agents in parallel is to ensure you have long-running sessions. This means sessions that are interrupted as little as possible. For…
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Building Agentic Workflows in Python with LangGraph
In this article, you will learn how to build a complete agentic workflow in Python with LangGraph, from a single model call to a tool-using agent with persistent conversation memory….
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A Production RAG Pipeline in Action: Every Answer Typed and Cited
(A production RAG pipeline for PDFs: relational parsing, TOC retrieval, typed answers) we upgraded each of the four bricks: document parsing, question parsing, retrieval, and generation, and wired them into…
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Complete Guide to Thinking Machines Inkling
Thinking Machines Lab has unveiled Inkling, its first general-purpose open-weights foundation model. It is a multimodal MoE model with 975B parameters, 41B active parameters, and a 1M-token context window. Rather…
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Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval
A user asks the pipeline: “what is the premium?” on a fifty-page insurance policy. The parser looks at the doc profile it just got from the parsing brick: doc_type: insurance_policy…
