Introduction Regenerating thumbnails in WooCommerce may seem like a simple task, but for stores with thousands of products, it can quickly turn into a multi-day challenge. When dealing with large-scale stores, such as those with 19,000+ product images, performance issues arise, impacting both the WordPress database and server stability.

Introduction WooCommerce is one of the most powerful e-commerce platforms, offering various product types to fit different business needs. However, its handling of variable products and variations comes with limitations that can impact product management. At AKADATA, we have developed custom solutions to enhance WooCommerce functionality by addressing these limitations

Introduction DeepSeek-R1 is an advanced AI model designed for deep reasoning and information retrieval. Running it locally provides the advantage of speed, privacy, and cost-efficiency without relying on cloud-based APIs. By leveraging Ollama, Open-WebUI, and Retrieval-Augmented Generation (RAG), you can create a highly capable local AI assistant tailored to your

Introduction Just as a dragon needs careful training to reach its full potential, so too does a LLaMA (Large Language Model Meta AI). Whether you're looking to fine-tune an existing model or train one from scratch using Hugging Face, this guide will walk you through the steps to

Introduction AI is revolutionizing the field of biomolecular science, and NVIDIA’s Evo 2 is at the forefront of this transformation. Designed to decode and generate DNA, RNA, and proteins at an unprecedented scale, Evo 2 leverages the NVIDIA DGX Cloud on AWS to enhance biological discovery, genetic research, and

Introduction Artificial Intelligence (AI) is transforming how businesses manage their WordPress websites by automating content updates, rewriting descriptions, and ensuring a consistent brand voice. By leveraging AI tools such as Retrieval-Augmented Generation (RAG), businesses can dynamically update content, keep product descriptions fresh, and ensure that their messaging aligns with their

Introduction to RAG and Data Structuring Retrieval-Augmented Generation (RAG) is a powerful AI framework that enhances the accuracy and relevance of responses by fetching external data before generating output. Unlike traditional models that rely solely on pre-trained knowledge, RAG allows for real-time retrieval from structured datasets, improving precision and domain

Open-WebUI is a powerful AI orchestration framework designed to facilitate multi-model integration, retrieval-augmented generation (RAG), and seamless automation of AI pipelines. By leveraging Open-WebUI’s capabilities, users can dynamically switch between multiple models, incorporate external knowledge sources, and execute complex workflows across various AI disciplines, including image recognition and generative

Introduction As AI and high-performance computing (HPC) continue to push the boundaries of innovation, the demand for ultra-fast, scalable, and efficient data storage has never been greater. Enter Infinia 2.0, an advanced object storage system designed to supercharge AI training and inference, offering groundbreaking speeds and cost efficiency in