Articles

Optimizing LLMs for Performance and Accuracy with Post-training Quantization

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models […]

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Synthetic Data for Computer Vision

This article was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is changing how computer vision models are being trained. This page will explain synthetic data and how it compares to traditional approaches. After exploring the main methods of creating synthetic data, we’ll help you

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AI On Board: Near Real-time Insights for Sustainable Fishing

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Marine ecosystems are under pressure from unsustainable fishing, with some populations declining faster than they can recover. Illegal, unreported, and unregulated (IUU) fishing further contributes to the problem, threatening biodiversity, economies, and global seafood supply chains. While many

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Optimizing Transformer-based Diffusion Models for Video Generation with NVIDIA TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. State-of-the-art image diffusion models take tens of seconds to process a single image. This makes video diffusion even more challenging, requiring significant computational resources and high costs. By leveraging the latest FP8 quantization features on NVIDIA Hopper GPUs

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Enable Pose Detection on Snapdragon X Elite: Step-by-step Tutorial

This article was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. I know why you’re here; you’ve decided to buy your first device with Snapdragon X Elite processor, awesome choice! You now ventured over to Qualcomm AI Hub, grabbed a model and excitedly watched as it downloaded. “Hmmm okay…

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Video Understanding: Qwen2-VL, An Expert Vision-language Model

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Qwen2-VL, an advanced vision language model built on Qwen2 [1], sets new benchmarks in image comprehension across varied resolutions and ratios, while also tackling extended video content. ‍Though Qwen2-V excels at many fronts, this article explores the model’s

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Build Real-time Multimodal XR Apps with NVIDIA AI Blueprint for Video Search and Summarization

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of highly sophisticated perception and deep contextual understanding. These intelligent solutions offer a promising

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Scalable Video Search: Cascading Foundation Models

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Video has become the lingua franca of the digital age, but its ubiquity presents a unique challenge: how do we efficiently extract meaningful information from this ocean of visual data? ‍In Part 1 of this series, we navigate

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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