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
Quantizing LLMs Step-by-Step: Converting FP16 Models to GGUF
Large language models like LLaMA, Mistral, and Qwen have billions of parameters that demand a lot of memory and compute power.
Scaling medical content review at Flo Health using Amazon Bedrock (Part 1)
This blog post is based on work co-developed with Flo Health. Healthcare science is rapidly advancing. Maintaining accurate and up-to-date medical content directly impacts people’s lives, health decisions, and well-being. When someone searches for health information, they are often at their most vulnerable, making accuracy not just important, but potentially…
Why a Chinese Robot Vacuum Company Spun Off Not One but 2 EV Brands
The pivot doesn’t look out of place at CES, where Chinese electronics companies are increasingly applying their manufacturing prowess to new industries.
One image is all robots need to find their way
While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and safely move in unknown, dynamic and complex environments. To move in their surroundings, robots rely on algorithms that process data collected by sensors or cameras and plan future actions accordingly.
















