AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
Qwen Image 2.1 is an EDITING Beast
Just a few tests with the new Qwen Image 2.1. Although it is not a good T2I, the editing capabilities seem to exceed any other open weights model. What do you think? Prompts: Change all Coca Cola cans of <image1> by the can of <image2>. Keep then cans crushed as…
RAG vs. Fine-Tuning for Domain Adaptation: When to Use Which
In this article, you will learn the mechanical difference between retrieval-augmented generation and fine-tuning, when each technique is the right tool, and how to decide…
How to Guide Your Language Flow
We introduce a new method to guide flow matching models. Our approach, which we call probe guidance, uses the frozen internal states of an existing diffusion model to construct a guidance signal. This works using a similar principle as autoguidance, but eliminates the need for an additional forward pass at…
From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock
This post is co-written with Mauro Rallo and Patrick van der Plas from HEMA. When engineers at HEMA needed an answer, they went portal-hopping, navigating disconnected wikis, service catalogs, and IT portals to find it. To turn that friction into instant answers, the 100-year-old Dutch retailer built a knowledge layer…